{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ececfb39",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 引包\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.tree import DecisionTreeClassifier  # 分类树\n",
    "import matplotlib.pyplot as plt # 画图\n",
    "from sklearn.model_selection import GridSearchCV,cross_val_score # 网格搜索，交叉验证\n",
    "from sklearn.model_selection import train_test_split # 切分训练集和测试集\n",
    "import tkinter as tk\n",
    "from tkinter import filedialog\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "64489c9e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/sz/zqd18lbx6_n8hkplcd8krnr80000gn/T/ipykernel_811/4003362217.py:9: DtypeWarning: Columns (1) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  data = pd.read_csv(file)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>贷款清单的唯一LC分配ID。</th>\n",
       "      <th>借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。</th>\n",
       "      <th>当时该笔贷款的承诺总额。</th>\n",
       "      <th>当时投资者承诺的贷款总额。</th>\n",
       "      <th>贷款的付款次数。值以月为单位，可以是36或60。</th>\n",
       "      <th>贷款利率</th>\n",
       "      <th>如果贷款来源，借款人应每月支付的款项。</th>\n",
       "      <th>LC指定贷款等级</th>\n",
       "      <th>LC指定贷款路基</th>\n",
       "      <th>...</th>\n",
       "      <th>所有银行卡账户的百分比&gt;限额的75%。</th>\n",
       "      <th>公共记录破产数</th>\n",
       "      <th>税收留置权数量</th>\n",
       "      <th>总高信贷/信贷限额</th>\n",
       "      <th>不包括抵押贷款的总信贷余额</th>\n",
       "      <th>银行卡高信用/信用限额合计</th>\n",
       "      <th>分期付款总额高信贷/信贷限额</th>\n",
       "      <th>标记借款人是否处于困难计划中</th>\n",
       "      <th>借款人获得贷款的方法。可能的值有：CASH、DIRECT_PAY</th>\n",
       "      <th>标记已注销的借款人是否与债务结算公司合作。</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>68407277</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>13.99</td>\n",
       "      <td>123.03</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>178050.0</td>\n",
       "      <td>7746.0</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>13734.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>68355089</td>\n",
       "      <td>24700.0</td>\n",
       "      <td>24700.0</td>\n",
       "      <td>24700.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.99</td>\n",
       "      <td>820.28</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>...</td>\n",
       "      <td>7.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>314017.0</td>\n",
       "      <td>39475.0</td>\n",
       "      <td>79300.0</td>\n",
       "      <td>24667.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>68341763</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>10.78</td>\n",
       "      <td>432.66</td>\n",
       "      <td>B</td>\n",
       "      <td>B4</td>\n",
       "      <td>...</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>218418.0</td>\n",
       "      <td>18696.0</td>\n",
       "      <td>6200.0</td>\n",
       "      <td>14877.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>68476807</td>\n",
       "      <td>10400.0</td>\n",
       "      <td>10400.0</td>\n",
       "      <td>10400.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>22.45</td>\n",
       "      <td>289.91</td>\n",
       "      <td>F</td>\n",
       "      <td>F1</td>\n",
       "      <td>...</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>439570.0</td>\n",
       "      <td>95768.0</td>\n",
       "      <td>20300.0</td>\n",
       "      <td>88097.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>68426831</td>\n",
       "      <td>11950.0</td>\n",
       "      <td>11950.0</td>\n",
       "      <td>11950.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>13.44</td>\n",
       "      <td>405.18</td>\n",
       "      <td>C</td>\n",
       "      <td>C3</td>\n",
       "      <td>...</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16900.0</td>\n",
       "      <td>12798.0</td>\n",
       "      <td>9400.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382377</th>\n",
       "      <td>2260688</td>\n",
       "      <td>89905081</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>9.49</td>\n",
       "      <td>377.95</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "      <td>...</td>\n",
       "      <td>33.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275356.0</td>\n",
       "      <td>54349.0</td>\n",
       "      <td>13100.0</td>\n",
       "      <td>77756.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382378</th>\n",
       "      <td>2260690</td>\n",
       "      <td>88948836</td>\n",
       "      <td>29400.0</td>\n",
       "      <td>29400.0</td>\n",
       "      <td>29400.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>13.99</td>\n",
       "      <td>683.94</td>\n",
       "      <td>C</td>\n",
       "      <td>C3</td>\n",
       "      <td>...</td>\n",
       "      <td>42.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>719056.0</td>\n",
       "      <td>148305.0</td>\n",
       "      <td>56500.0</td>\n",
       "      <td>95702.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382379</th>\n",
       "      <td>2260691</td>\n",
       "      <td>89996426</td>\n",
       "      <td>32000.0</td>\n",
       "      <td>32000.0</td>\n",
       "      <td>32000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>14.49</td>\n",
       "      <td>752.74</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>524379.0</td>\n",
       "      <td>122872.0</td>\n",
       "      <td>15800.0</td>\n",
       "      <td>23879.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382380</th>\n",
       "      <td>2260692</td>\n",
       "      <td>90006534</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>12.79</td>\n",
       "      <td>362.34</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>...</td>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87473.0</td>\n",
       "      <td>65797.0</td>\n",
       "      <td>10100.0</td>\n",
       "      <td>73473.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382381</th>\n",
       "      <td>2260697</td>\n",
       "      <td>88224441</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>14.49</td>\n",
       "      <td>564.56</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>...</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>84664.0</td>\n",
       "      <td>62426.0</td>\n",
       "      <td>20700.0</td>\n",
       "      <td>58764.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1382382 rows × 93 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0 贷款清单的唯一LC分配ID。  \\\n",
       "0                 0       68407277   \n",
       "1                 1       68355089   \n",
       "2                 2       68341763   \n",
       "3                 4       68476807   \n",
       "4                 5       68426831   \n",
       "...             ...            ...   \n",
       "1382377     2260688       89905081   \n",
       "1382378     2260690       88948836   \n",
       "1382379     2260691       89996426   \n",
       "1382380     2260692       90006534   \n",
       "1382381     2260697       88224441   \n",
       "\n",
       "         借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。  当时该笔贷款的承诺总额。  \\\n",
       "0                                             3600.0        3600.0   \n",
       "1                                            24700.0       24700.0   \n",
       "2                                            20000.0       20000.0   \n",
       "3                                            10400.0       10400.0   \n",
       "4                                            11950.0       11950.0   \n",
       "...                                              ...           ...   \n",
       "1382377                                      18000.0       18000.0   \n",
       "1382378                                      29400.0       29400.0   \n",
       "1382379                                      32000.0       32000.0   \n",
       "1382380                                      16000.0       16000.0   \n",
       "1382381                                      24000.0       24000.0   \n",
       "\n",
       "         当时投资者承诺的贷款总额。 贷款的付款次数。值以月为单位，可以是36或60。   贷款利率  如果贷款来源，借款人应每月支付的款项。  \\\n",
       "0               3600.0                36 months  13.99               123.03   \n",
       "1              24700.0                36 months  11.99               820.28   \n",
       "2              20000.0                60 months  10.78               432.66   \n",
       "3              10400.0                60 months  22.45               289.91   \n",
       "4              11950.0                36 months  13.44               405.18   \n",
       "...                ...                      ...    ...                  ...   \n",
       "1382377        18000.0                60 months   9.49               377.95   \n",
       "1382378        29400.0                60 months  13.99               683.94   \n",
       "1382379        32000.0                60 months  14.49               752.74   \n",
       "1382380        16000.0                60 months  12.79               362.34   \n",
       "1382381        24000.0                60 months  14.49               564.56   \n",
       "\n",
       "        LC指定贷款等级 LC指定贷款路基  ... 所有银行卡账户的百分比>限额的75%。 公共记录破产数 税收留置权数量  总高信贷/信贷限额  \\\n",
       "0              C       C4  ...                 0.0     0.0     0.0   178050.0   \n",
       "1              C       C1  ...                 7.7     0.0     0.0   314017.0   \n",
       "2              B       B4  ...                50.0     0.0     0.0   218418.0   \n",
       "3              F       F1  ...                60.0     0.0     0.0   439570.0   \n",
       "4              C       C3  ...               100.0     0.0     0.0    16900.0   \n",
       "...          ...      ...  ...                 ...     ...     ...        ...   \n",
       "1382377        B       B2  ...                33.3     0.0     0.0   275356.0   \n",
       "1382378        C       C3  ...                42.9     0.0     0.0   719056.0   \n",
       "1382379        C       C4  ...                 0.0     0.0     0.0   524379.0   \n",
       "1382380        C       C1  ...                50.0     3.0     0.0    87473.0   \n",
       "1382381        C       C4  ...                40.0     1.0     0.0    84664.0   \n",
       "\n",
       "        不包括抵押贷款的总信贷余额 银行卡高信用/信用限额合计 分期付款总额高信贷/信贷限额 标记借款人是否处于困难计划中  \\\n",
       "0              7746.0        2400.0        13734.0              N   \n",
       "1             39475.0       79300.0        24667.0              N   \n",
       "2             18696.0        6200.0        14877.0              N   \n",
       "3             95768.0       20300.0        88097.0              N   \n",
       "4             12798.0        9400.0         4000.0              N   \n",
       "...               ...           ...            ...            ...   \n",
       "1382377       54349.0       13100.0        77756.0              N   \n",
       "1382378      148305.0       56500.0        95702.0              N   \n",
       "1382379      122872.0       15800.0        23879.0              N   \n",
       "1382380       65797.0       10100.0        73473.0              N   \n",
       "1382381       62426.0       20700.0        58764.0              N   \n",
       "\n",
       "        借款人获得贷款的方法。可能的值有：CASH、DIRECT_PAY 标记已注销的借款人是否与债务结算公司合作。  \n",
       "0                                   Cash                     N  \n",
       "1                                   Cash                     N  \n",
       "2                                   Cash                     N  \n",
       "3                                   Cash                     N  \n",
       "4                                   Cash                     N  \n",
       "...                                  ...                   ...  \n",
       "1382377                             Cash                     N  \n",
       "1382378                             Cash                     N  \n",
       "1382379                             Cash                     N  \n",
       "1382380                             Cash                     N  \n",
       "1382381                             Cash                     Y  \n",
       "\n",
       "[1382382 rows x 93 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''获取数据'''\n",
    "\n",
    "# # 导入数据\n",
    "# root = tk.Tk()\n",
    "# root.withdraw()\n",
    "\n",
    "# 读取文件地址\n",
    "file = \"data.csv\" #选择要读取的文件 LC_data.csv\n",
    "data = pd.read_csv(file)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fd1e338f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 全列显示\n",
    "pd.set_option('display.max_columns', 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "824c9d74",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop(labels=[data.columns[0]],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "490522cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>贷款清单的唯一LC分配ID。</th>\n",
       "      <th>借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。</th>\n",
       "      <th>当时该笔贷款的承诺总额。</th>\n",
       "      <th>当时投资者承诺的贷款总额。</th>\n",
       "      <th>贷款的付款次数。值以月为单位，可以是36或60。</th>\n",
       "      <th>贷款利率</th>\n",
       "      <th>如果贷款来源，借款人应每月支付的款项。</th>\n",
       "      <th>LC指定贷款等级</th>\n",
       "      <th>LC指定贷款路基</th>\n",
       "      <th>借款人申请贷款时提供的职位*</th>\n",
       "      <th>就业年限（年）。可能的值介于0和10之间，其中0表示少于一年，10表示十年或更长时间。</th>\n",
       "      <th>借款人在登记期间提供的或从信用报告中获得的房屋所有权状态。我们的价值观是：出租、自有、抵押、其他</th>\n",
       "      <th>借款人在注册期间提供的自报年收入。</th>\n",
       "      <th>指示收入是否由信用证核实、未核实或收入来源是否已核实</th>\n",
       "      <th>贷款资助月份</th>\n",
       "      <th>贷款的当前状态</th>\n",
       "      <th>指示是否已为贷款制定付款计划</th>\n",
       "      <th>带有列表数据的LC页面的URL。</th>\n",
       "      <th>借款人为贷款申请提供的类别。</th>\n",
       "      <th>借款人提供的贷款名称</th>\n",
       "      <th>借款人在贷款申请中提供的邮政编码的前3个数字。</th>\n",
       "      <th>借款人在贷款申请中提供的状态</th>\n",
       "      <th>一种比率，使用借款人每月债务总额除以总债务债务（不包括抵押贷款和要求的信用证贷款），再除以借款人自报的月收入。</th>\n",
       "      <th>过去2年借款人信用档案中逾期30天以上的拖欠事件</th>\n",
       "      <th>借款人最早报告的信贷额度开通的月份</th>\n",
       "      <th>借款人在贷款发放时的FICO属于下限范围。</th>\n",
       "      <th>借款人在贷款发放时的FICO属于上限范围。</th>\n",
       "      <th>过去6个月的查询数量（不包括汽车和抵押贷款查询）</th>\n",
       "      <th>借款人信用文件中未结信用额度的数量。</th>\n",
       "      <th>贬损公共记录的数量</th>\n",
       "      <th>信贷循环余额合计</th>\n",
       "      <th>循环额度使用率，或借款人使用的信贷金额相对于所有可用循环信贷。</th>\n",
       "      <th>借款人信贷文件中当前的信贷额度总数</th>\n",
       "      <th>贷款的初始上市状态。可能的值为–W、F</th>\n",
       "      <th>供资总额的剩余未偿本金</th>\n",
       "      <th>投资者出资总额部分的剩余未偿本金</th>\n",
       "      <th>迄今收到的资金总额付款</th>\n",
       "      <th>迄今为止收到的投资者出资总额部分付款</th>\n",
       "      <th>迄今收到的本金</th>\n",
       "      <th>迄今收到的利息</th>\n",
       "      <th>迄今收到的滞纳金</th>\n",
       "      <th>注销后总回收率</th>\n",
       "      <th>注销后收款费</th>\n",
       "      <th>上月收到付款</th>\n",
       "      <th>上次收到的付款总额</th>\n",
       "      <th>最近一个月信用证收回了这笔贷款的信贷</th>\n",
       "      <th>借款人最后一次提取的FICO属于上限范围。</th>\n",
       "      <th>借款人最后一次提取的FICO属于下限范围。</th>\n",
       "      <th>12个月内的收集数量，不包括医疗收集</th>\n",
       "      <th>“公开可用的policy_code=1\\n未公开的新产品policy_code=2“</th>\n",
       "      <th>指示贷款是单独申请还是与两个共同借款人联合申请</th>\n",
       "      <th>借款人现在拖欠的账户数量。</th>\n",
       "      <th>曾经拖欠的收款总额</th>\n",
       "      <th>所有账户的总当前余额</th>\n",
       "      <th>总循环高信贷/信贷限额</th>\n",
       "      <th>过去24个月内开通的交易数量。</th>\n",
       "      <th>所有账户的平均活期余额</th>\n",
       "      <th>在循环银行卡上完全开放购买。</th>\n",
       "      <th>所有银行卡账户的总当前余额与高信用/信用限额的比率。</th>\n",
       "      <th>12个月内注销次数</th>\n",
       "      <th>借款人现在拖欠的账户的逾期欠款。</th>\n",
       "      <th>最早的银行分期付款账户开立后的月数</th>\n",
       "      <th>最旧循环账户开立后的月数</th>\n",
       "      <th>最近一个循环账户开立后的月数</th>\n",
       "      <th>自最近一次开户以来的月数</th>\n",
       "      <th>抵押账户数量。</th>\n",
       "      <th>最近一个银行卡账户开立后的几个月。</th>\n",
       "      <th>逾期120天或以上的账户数</th>\n",
       "      <th>当前活动的银行卡帐户数</th>\n",
       "      <th>当前活跃的循环交易数量</th>\n",
       "      <th>令人满意的银行卡账户数量</th>\n",
       "      <th>银行卡账户数</th>\n",
       "      <th>分期付款账户数</th>\n",
       "      <th>未结循环账户数</th>\n",
       "      <th>循环账户数量</th>\n",
       "      <th>余额&gt;0的循环交易数</th>\n",
       "      <th>满意账户数</th>\n",
       "      <th>当前逾期120天的账户数（在过去2个月内更新）</th>\n",
       "      <th>当前逾期30天的账户数（在过去2个月内更新）</th>\n",
       "      <th>过去24个月内逾期90天或以上的账户数</th>\n",
       "      <th>过去12个月开立的账户数</th>\n",
       "      <th>从未拖欠的交易百分比</th>\n",
       "      <th>所有银行卡账户的百分比&gt;限额的75%。</th>\n",
       "      <th>公共记录破产数</th>\n",
       "      <th>税收留置权数量</th>\n",
       "      <th>总高信贷/信贷限额</th>\n",
       "      <th>不包括抵押贷款的总信贷余额</th>\n",
       "      <th>银行卡高信用/信用限额合计</th>\n",
       "      <th>分期付款总额高信贷/信贷限额</th>\n",
       "      <th>标记借款人是否处于困难计划中</th>\n",
       "      <th>借款人获得贷款的方法。可能的值有：CASH、DIRECT_PAY</th>\n",
       "      <th>标记已注销的借款人是否与债务结算公司合作。</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>68407277</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>13.99</td>\n",
       "      <td>123.03</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>leadman</td>\n",
       "      <td>10+ years</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>55000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>Fully Paid</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>190xx</td>\n",
       "      <td>PA</td>\n",
       "      <td>5.91</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Aug-2003</td>\n",
       "      <td>675.0</td>\n",
       "      <td>679.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2765.0</td>\n",
       "      <td>29.7</td>\n",
       "      <td>13.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4421.723917</td>\n",
       "      <td>4421.72</td>\n",
       "      <td>3600.00</td>\n",
       "      <td>821.72</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jan-2019</td>\n",
       "      <td>122.67</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>564.0</td>\n",
       "      <td>560.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>722.0</td>\n",
       "      <td>144904.0</td>\n",
       "      <td>9300.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20701.0</td>\n",
       "      <td>1506.0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>76.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>178050.0</td>\n",
       "      <td>7746.0</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>13734.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>68355089</td>\n",
       "      <td>24700.0</td>\n",
       "      <td>24700.0</td>\n",
       "      <td>24700.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.99</td>\n",
       "      <td>820.28</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>10+ years</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>65000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>Fully Paid</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>small_business</td>\n",
       "      <td>Business</td>\n",
       "      <td>577xx</td>\n",
       "      <td>SD</td>\n",
       "      <td>16.06</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Dec-1999</td>\n",
       "      <td>715.0</td>\n",
       "      <td>719.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21470.0</td>\n",
       "      <td>19.2</td>\n",
       "      <td>38.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25679.660000</td>\n",
       "      <td>25679.66</td>\n",
       "      <td>24700.00</td>\n",
       "      <td>979.66</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jun-2016</td>\n",
       "      <td>926.35</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>699.0</td>\n",
       "      <td>695.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>204396.0</td>\n",
       "      <td>111800.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9733.0</td>\n",
       "      <td>57830.0</td>\n",
       "      <td>27.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>97.4</td>\n",
       "      <td>7.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>314017.0</td>\n",
       "      <td>39475.0</td>\n",
       "      <td>79300.0</td>\n",
       "      <td>24667.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>68341763</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>10.78</td>\n",
       "      <td>432.66</td>\n",
       "      <td>B</td>\n",
       "      <td>B4</td>\n",
       "      <td>truck driver</td>\n",
       "      <td>10+ years</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>63000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>Fully Paid</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>home_improvement</td>\n",
       "      <td>NaN</td>\n",
       "      <td>605xx</td>\n",
       "      <td>IL</td>\n",
       "      <td>10.78</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Aug-2000</td>\n",
       "      <td>695.0</td>\n",
       "      <td>699.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7869.0</td>\n",
       "      <td>56.2</td>\n",
       "      <td>18.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22705.924294</td>\n",
       "      <td>22705.92</td>\n",
       "      <td>20000.00</td>\n",
       "      <td>2705.92</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jun-2017</td>\n",
       "      <td>15813.30</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>704.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Joint App</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>189699.0</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>31617.0</td>\n",
       "      <td>2737.0</td>\n",
       "      <td>55.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>218418.0</td>\n",
       "      <td>18696.0</td>\n",
       "      <td>6200.0</td>\n",
       "      <td>14877.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>68476807</td>\n",
       "      <td>10400.0</td>\n",
       "      <td>10400.0</td>\n",
       "      <td>10400.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>22.45</td>\n",
       "      <td>289.91</td>\n",
       "      <td>F</td>\n",
       "      <td>F1</td>\n",
       "      <td>Contract Specialist</td>\n",
       "      <td>3 years</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>104433.0</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>Fully Paid</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>major_purchase</td>\n",
       "      <td>Major purchase</td>\n",
       "      <td>174xx</td>\n",
       "      <td>PA</td>\n",
       "      <td>25.37</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Jun-1998</td>\n",
       "      <td>695.0</td>\n",
       "      <td>699.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21929.0</td>\n",
       "      <td>64.5</td>\n",
       "      <td>35.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11740.500000</td>\n",
       "      <td>11740.50</td>\n",
       "      <td>10400.00</td>\n",
       "      <td>1340.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jul-2016</td>\n",
       "      <td>10128.96</td>\n",
       "      <td>Mar-2018</td>\n",
       "      <td>704.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>331730.0</td>\n",
       "      <td>34000.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>27644.0</td>\n",
       "      <td>4567.0</td>\n",
       "      <td>77.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>96.6</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>439570.0</td>\n",
       "      <td>95768.0</td>\n",
       "      <td>20300.0</td>\n",
       "      <td>88097.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>68426831</td>\n",
       "      <td>11950.0</td>\n",
       "      <td>11950.0</td>\n",
       "      <td>11950.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>13.44</td>\n",
       "      <td>405.18</td>\n",
       "      <td>C</td>\n",
       "      <td>C3</td>\n",
       "      <td>Veterinary Tecnician</td>\n",
       "      <td>4 years</td>\n",
       "      <td>RENT</td>\n",
       "      <td>34000.0</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>Fully Paid</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>300xx</td>\n",
       "      <td>GA</td>\n",
       "      <td>10.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Oct-1987</td>\n",
       "      <td>690.0</td>\n",
       "      <td>694.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8822.0</td>\n",
       "      <td>68.4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13708.948530</td>\n",
       "      <td>13708.95</td>\n",
       "      <td>11950.00</td>\n",
       "      <td>1758.95</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>May-2017</td>\n",
       "      <td>7653.56</td>\n",
       "      <td>May-2017</td>\n",
       "      <td>759.0</td>\n",
       "      <td>755.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12798.0</td>\n",
       "      <td>12900.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2560.0</td>\n",
       "      <td>844.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>338.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16900.0</td>\n",
       "      <td>12798.0</td>\n",
       "      <td>9400.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382377</th>\n",
       "      <td>89905081</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>9.49</td>\n",
       "      <td>377.95</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5 years</td>\n",
       "      <td>OWN</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>Fully Paid</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>home_improvement</td>\n",
       "      <td>Home improvement</td>\n",
       "      <td>775xx</td>\n",
       "      <td>TX</td>\n",
       "      <td>20.59</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jul-2004</td>\n",
       "      <td>735.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23833.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20756.233632</td>\n",
       "      <td>20756.23</td>\n",
       "      <td>18000.00</td>\n",
       "      <td>2756.23</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Aug-2018</td>\n",
       "      <td>12828.77</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>709.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>168758.0</td>\n",
       "      <td>70100.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9927.0</td>\n",
       "      <td>4161.0</td>\n",
       "      <td>68.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>33.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275356.0</td>\n",
       "      <td>54349.0</td>\n",
       "      <td>13100.0</td>\n",
       "      <td>77756.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382378</th>\n",
       "      <td>88948836</td>\n",
       "      <td>29400.0</td>\n",
       "      <td>29400.0</td>\n",
       "      <td>29400.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>13.99</td>\n",
       "      <td>683.94</td>\n",
       "      <td>C</td>\n",
       "      <td>C3</td>\n",
       "      <td>Chief Operating Officer</td>\n",
       "      <td>9 years</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>180792.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>Fully Paid</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>900xx</td>\n",
       "      <td>CA</td>\n",
       "      <td>22.03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mar-2002</td>\n",
       "      <td>705.0</td>\n",
       "      <td>709.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77480.0</td>\n",
       "      <td>85.2</td>\n",
       "      <td>32.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35848.764532</td>\n",
       "      <td>35848.76</td>\n",
       "      <td>29400.00</td>\n",
       "      <td>6448.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jul-2018</td>\n",
       "      <td>22192.81</td>\n",
       "      <td>Jul-2018</td>\n",
       "      <td>719.0</td>\n",
       "      <td>715.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>663465.0</td>\n",
       "      <td>86500.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>44231.0</td>\n",
       "      <td>8427.0</td>\n",
       "      <td>69.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>42.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>719056.0</td>\n",
       "      <td>148305.0</td>\n",
       "      <td>56500.0</td>\n",
       "      <td>95702.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382379</th>\n",
       "      <td>89996426</td>\n",
       "      <td>32000.0</td>\n",
       "      <td>32000.0</td>\n",
       "      <td>32000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>14.49</td>\n",
       "      <td>752.74</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>Sales Manager</td>\n",
       "      <td>3 years</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>157000.0</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>Charged Off</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>home_improvement</td>\n",
       "      <td>Home improvement</td>\n",
       "      <td>863xx</td>\n",
       "      <td>AZ</td>\n",
       "      <td>10.34</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jun-2011</td>\n",
       "      <td>735.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>111598.0</td>\n",
       "      <td>27.4</td>\n",
       "      <td>18.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3737.940000</td>\n",
       "      <td>3737.94</td>\n",
       "      <td>1876.47</td>\n",
       "      <td>1861.47</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mar-2017</td>\n",
       "      <td>752.74</td>\n",
       "      <td>Dec-2018</td>\n",
       "      <td>499.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>408701.0</td>\n",
       "      <td>207500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>29193.0</td>\n",
       "      <td>14118.0</td>\n",
       "      <td>10.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>524379.0</td>\n",
       "      <td>122872.0</td>\n",
       "      <td>15800.0</td>\n",
       "      <td>23879.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382380</th>\n",
       "      <td>90006534</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>12.79</td>\n",
       "      <td>362.34</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>Manager</td>\n",
       "      <td>10+ years</td>\n",
       "      <td>RENT</td>\n",
       "      <td>150000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>Fully Paid</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>medical</td>\n",
       "      <td>Medical expenses</td>\n",
       "      <td>284xx</td>\n",
       "      <td>NC</td>\n",
       "      <td>12.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Aug-1997</td>\n",
       "      <td>665.0</td>\n",
       "      <td>669.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7700.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18660.607569</td>\n",
       "      <td>18660.61</td>\n",
       "      <td>16000.00</td>\n",
       "      <td>2660.61</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mar-2018</td>\n",
       "      <td>12874.54</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>684.0</td>\n",
       "      <td>680.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65797.0</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5982.0</td>\n",
       "      <td>2720.0</td>\n",
       "      <td>73.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>229.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87473.0</td>\n",
       "      <td>65797.0</td>\n",
       "      <td>10100.0</td>\n",
       "      <td>73473.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382381</th>\n",
       "      <td>88224441</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>14.49</td>\n",
       "      <td>564.56</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>Program Manager</td>\n",
       "      <td>6 years</td>\n",
       "      <td>RENT</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>Charged Off</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>334xx</td>\n",
       "      <td>FL</td>\n",
       "      <td>18.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jul-1999</td>\n",
       "      <td>660.0</td>\n",
       "      <td>664.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17641.0</td>\n",
       "      <td>68.1</td>\n",
       "      <td>31.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6755.400000</td>\n",
       "      <td>6755.40</td>\n",
       "      <td>3521.91</td>\n",
       "      <td>3233.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Oct-2017</td>\n",
       "      <td>564.56</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>594.0</td>\n",
       "      <td>590.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62426.0</td>\n",
       "      <td>25900.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6243.0</td>\n",
       "      <td>4660.0</td>\n",
       "      <td>77.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>96.2</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>84664.0</td>\n",
       "      <td>62426.0</td>\n",
       "      <td>20700.0</td>\n",
       "      <td>58764.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1382382 rows × 92 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        贷款清单的唯一LC分配ID。  借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。  \\\n",
       "0             68407277                                       3600.0   \n",
       "1             68355089                                      24700.0   \n",
       "2             68341763                                      20000.0   \n",
       "3             68476807                                      10400.0   \n",
       "4             68426831                                      11950.0   \n",
       "...                ...                                          ...   \n",
       "1382377       89905081                                      18000.0   \n",
       "1382378       88948836                                      29400.0   \n",
       "1382379       89996426                                      32000.0   \n",
       "1382380       90006534                                      16000.0   \n",
       "1382381       88224441                                      24000.0   \n",
       "\n",
       "         当时该笔贷款的承诺总额。  当时投资者承诺的贷款总额。 贷款的付款次数。值以月为单位，可以是36或60。   贷款利率  \\\n",
       "0              3600.0         3600.0                36 months  13.99   \n",
       "1             24700.0        24700.0                36 months  11.99   \n",
       "2             20000.0        20000.0                60 months  10.78   \n",
       "3             10400.0        10400.0                60 months  22.45   \n",
       "4             11950.0        11950.0                36 months  13.44   \n",
       "...               ...            ...                      ...    ...   \n",
       "1382377       18000.0        18000.0                60 months   9.49   \n",
       "1382378       29400.0        29400.0                60 months  13.99   \n",
       "1382379       32000.0        32000.0                60 months  14.49   \n",
       "1382380       16000.0        16000.0                60 months  12.79   \n",
       "1382381       24000.0        24000.0                60 months  14.49   \n",
       "\n",
       "         如果贷款来源，借款人应每月支付的款项。 LC指定贷款等级 LC指定贷款路基           借款人申请贷款时提供的职位*  \\\n",
       "0                     123.03        C       C4                  leadman   \n",
       "1                     820.28        C       C1                 Engineer   \n",
       "2                     432.66        B       B4             truck driver   \n",
       "3                     289.91        F       F1      Contract Specialist   \n",
       "4                     405.18        C       C3     Veterinary Tecnician   \n",
       "...                      ...      ...      ...                      ...   \n",
       "1382377               377.95        B       B2                      NaN   \n",
       "1382378               683.94        C       C3  Chief Operating Officer   \n",
       "1382379               752.74        C       C4            Sales Manager   \n",
       "1382380               362.34        C       C1                  Manager   \n",
       "1382381               564.56        C       C4          Program Manager   \n",
       "\n",
       "        就业年限（年）。可能的值介于0和10之间，其中0表示少于一年，10表示十年或更长时间。  \\\n",
       "0                                         10+ years   \n",
       "1                                         10+ years   \n",
       "2                                         10+ years   \n",
       "3                                           3 years   \n",
       "4                                           4 years   \n",
       "...                                             ...   \n",
       "1382377                                     5 years   \n",
       "1382378                                     9 years   \n",
       "1382379                                     3 years   \n",
       "1382380                                   10+ years   \n",
       "1382381                                     6 years   \n",
       "\n",
       "        借款人在登记期间提供的或从信用报告中获得的房屋所有权状态。我们的价值观是：出租、自有、抵押、其他  借款人在注册期间提供的自报年收入。  \\\n",
       "0                                               MORTGAGE            55000.0   \n",
       "1                                               MORTGAGE            65000.0   \n",
       "2                                               MORTGAGE            63000.0   \n",
       "3                                               MORTGAGE           104433.0   \n",
       "4                                                   RENT            34000.0   \n",
       "...                                                  ...                ...   \n",
       "1382377                                              OWN           130000.0   \n",
       "1382378                                         MORTGAGE           180792.0   \n",
       "1382379                                         MORTGAGE           157000.0   \n",
       "1382380                                             RENT           150000.0   \n",
       "1382381                                             RENT           110000.0   \n",
       "\n",
       "        指示收入是否由信用证核实、未核实或收入来源是否已核实    贷款资助月份      贷款的当前状态 指示是否已为贷款制定付款计划  \\\n",
       "0                     Not Verified  Dec-2015   Fully Paid              n   \n",
       "1                     Not Verified  Dec-2015   Fully Paid              n   \n",
       "2                     Not Verified  Dec-2015   Fully Paid              n   \n",
       "3                  Source Verified  Dec-2015   Fully Paid              n   \n",
       "4                  Source Verified  Dec-2015   Fully Paid              n   \n",
       "...                            ...       ...          ...            ...   \n",
       "1382377               Not Verified  Oct-2016   Fully Paid              n   \n",
       "1382378               Not Verified  Oct-2016   Fully Paid              n   \n",
       "1382379            Source Verified  Oct-2016  Charged Off              n   \n",
       "1382380               Not Verified  Oct-2016   Fully Paid              n   \n",
       "1382381               Not Verified  Oct-2016  Charged Off              n   \n",
       "\n",
       "                                          带有列表数据的LC页面的URL。  \\\n",
       "0        https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1        https://lendingclub.com/browse/loanDetail.acti...   \n",
       "2        https://lendingclub.com/browse/loanDetail.acti...   \n",
       "3        https://lendingclub.com/browse/loanDetail.acti...   \n",
       "4        https://lendingclub.com/browse/loanDetail.acti...   \n",
       "...                                                    ...   \n",
       "1382377  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382378  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382379  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382380  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382381  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "\n",
       "             借款人为贷款申请提供的类别。          借款人提供的贷款名称 借款人在贷款申请中提供的邮政编码的前3个数字。  \\\n",
       "0        debt_consolidation  Debt consolidation                   190xx   \n",
       "1            small_business            Business                   577xx   \n",
       "2          home_improvement                 NaN                   605xx   \n",
       "3            major_purchase      Major purchase                   174xx   \n",
       "4        debt_consolidation  Debt consolidation                   300xx   \n",
       "...                     ...                 ...                     ...   \n",
       "1382377    home_improvement    Home improvement                   775xx   \n",
       "1382378  debt_consolidation  Debt consolidation                   900xx   \n",
       "1382379    home_improvement    Home improvement                   863xx   \n",
       "1382380             medical    Medical expenses                   284xx   \n",
       "1382381  debt_consolidation  Debt consolidation                   334xx   \n",
       "\n",
       "        借款人在贷款申请中提供的状态  \\\n",
       "0                   PA   \n",
       "1                   SD   \n",
       "2                   IL   \n",
       "3                   PA   \n",
       "4                   GA   \n",
       "...                ...   \n",
       "1382377             TX   \n",
       "1382378             CA   \n",
       "1382379             AZ   \n",
       "1382380             NC   \n",
       "1382381             FL   \n",
       "\n",
       "         一种比率，使用借款人每月债务总额除以总债务债务（不包括抵押贷款和要求的信用证贷款），再除以借款人自报的月收入。  \\\n",
       "0                                                     5.91         \n",
       "1                                                    16.06         \n",
       "2                                                    10.78         \n",
       "3                                                    25.37         \n",
       "4                                                    10.20         \n",
       "...                                                    ...         \n",
       "1382377                                              20.59         \n",
       "1382378                                              22.03         \n",
       "1382379                                              10.34         \n",
       "1382380                                              12.25         \n",
       "1382381                                              18.30         \n",
       "\n",
       "         过去2年借款人信用档案中逾期30天以上的拖欠事件 借款人最早报告的信贷额度开通的月份  借款人在贷款发放时的FICO属于下限范围。  \\\n",
       "0                             0.0          Aug-2003                  675.0   \n",
       "1                             1.0          Dec-1999                  715.0   \n",
       "2                             0.0          Aug-2000                  695.0   \n",
       "3                             1.0          Jun-1998                  695.0   \n",
       "4                             0.0          Oct-1987                  690.0   \n",
       "...                           ...               ...                    ...   \n",
       "1382377                       0.0          Jul-2004                  735.0   \n",
       "1382378                       0.0          Mar-2002                  705.0   \n",
       "1382379                       0.0          Jun-2011                  735.0   \n",
       "1382380                       0.0          Aug-1997                  665.0   \n",
       "1382381                       0.0          Jul-1999                  660.0   \n",
       "\n",
       "         借款人在贷款发放时的FICO属于上限范围。  过去6个月的查询数量（不包括汽车和抵押贷款查询）  借款人信用文件中未结信用额度的数量。  \\\n",
       "0                        679.0                       1.0                 7.0   \n",
       "1                        719.0                       4.0                22.0   \n",
       "2                        699.0                       0.0                 6.0   \n",
       "3                        699.0                       3.0                12.0   \n",
       "4                        694.0                       0.0                 5.0   \n",
       "...                        ...                       ...                 ...   \n",
       "1382377                  739.0                       1.0                17.0   \n",
       "1382378                  709.0                       1.0                16.0   \n",
       "1382379                  739.0                       0.0                14.0   \n",
       "1382380                  669.0                       0.0                12.0   \n",
       "1382381                  664.0                       0.0                10.0   \n",
       "\n",
       "         贬损公共记录的数量  信贷循环余额合计  循环额度使用率，或借款人使用的信贷金额相对于所有可用循环信贷。  \\\n",
       "0              0.0    2765.0                             29.7   \n",
       "1              0.0   21470.0                             19.2   \n",
       "2              0.0    7869.0                             56.2   \n",
       "3              0.0   21929.0                             64.5   \n",
       "4              0.0    8822.0                             68.4   \n",
       "...            ...       ...                              ...   \n",
       "1382377        0.0   23833.0                             34.0   \n",
       "1382378        0.0   77480.0                             85.2   \n",
       "1382379        0.0  111598.0                             27.4   \n",
       "1382380        4.0    7700.0                             55.0   \n",
       "1382381        1.0   17641.0                             68.1   \n",
       "\n",
       "         借款人信贷文件中当前的信贷额度总数 贷款的初始上市状态。可能的值为–W、F  供资总额的剩余未偿本金  投资者出资总额部分的剩余未偿本金  \\\n",
       "0                     13.0                   w          0.0               0.0   \n",
       "1                     38.0                   w          0.0               0.0   \n",
       "2                     18.0                   w          0.0               0.0   \n",
       "3                     35.0                   w          0.0               0.0   \n",
       "4                      6.0                   w          0.0               0.0   \n",
       "...                    ...                 ...          ...               ...   \n",
       "1382377               39.0                   f          0.0               0.0   \n",
       "1382378               32.0                   f          0.0               0.0   \n",
       "1382379               18.0                   f          0.0               0.0   \n",
       "1382380               28.0                   f          0.0               0.0   \n",
       "1382381               31.0                   f          0.0               0.0   \n",
       "\n",
       "          迄今收到的资金总额付款  迄今为止收到的投资者出资总额部分付款   迄今收到的本金  迄今收到的利息  迄今收到的滞纳金  \\\n",
       "0         4421.723917             4421.72   3600.00   821.72       0.0   \n",
       "1        25679.660000            25679.66  24700.00   979.66       0.0   \n",
       "2        22705.924294            22705.92  20000.00  2705.92       0.0   \n",
       "3        11740.500000            11740.50  10400.00  1340.50       0.0   \n",
       "4        13708.948530            13708.95  11950.00  1758.95       0.0   \n",
       "...               ...                 ...       ...      ...       ...   \n",
       "1382377  20756.233632            20756.23  18000.00  2756.23       0.0   \n",
       "1382378  35848.764532            35848.76  29400.00  6448.76       0.0   \n",
       "1382379   3737.940000             3737.94   1876.47  1861.47       0.0   \n",
       "1382380  18660.607569            18660.61  16000.00  2660.61       0.0   \n",
       "1382381   6755.400000             6755.40   3521.91  3233.49       0.0   \n",
       "\n",
       "         注销后总回收率  注销后收款费    上月收到付款  上次收到的付款总额 最近一个月信用证收回了这笔贷款的信贷  \\\n",
       "0            0.0     0.0  Jan-2019     122.67           Mar-2019   \n",
       "1            0.0     0.0  Jun-2016     926.35           Mar-2019   \n",
       "2            0.0     0.0  Jun-2017   15813.30           Mar-2019   \n",
       "3            0.0     0.0  Jul-2016   10128.96           Mar-2018   \n",
       "4            0.0     0.0  May-2017    7653.56           May-2017   \n",
       "...          ...     ...       ...        ...                ...   \n",
       "1382377      0.0     0.0  Aug-2018   12828.77           Mar-2019   \n",
       "1382378      0.0     0.0  Jul-2018   22192.81           Jul-2018   \n",
       "1382379      0.0     0.0  Mar-2017     752.74           Dec-2018   \n",
       "1382380      0.0     0.0  Mar-2018   12874.54           Mar-2019   \n",
       "1382381      0.0     0.0  Oct-2017     564.56           Mar-2019   \n",
       "\n",
       "         借款人最后一次提取的FICO属于上限范围。  借款人最后一次提取的FICO属于下限范围。  12个月内的收集数量，不包括医疗收集  \\\n",
       "0                        564.0                  560.0                 0.0   \n",
       "1                        699.0                  695.0                 0.0   \n",
       "2                        704.0                  700.0                 0.0   \n",
       "3                        704.0                  700.0                 0.0   \n",
       "4                        759.0                  755.0                 0.0   \n",
       "...                        ...                    ...                 ...   \n",
       "1382377                  709.0                  705.0                 0.0   \n",
       "1382378                  719.0                  715.0                 0.0   \n",
       "1382379                  499.0                    0.0                 0.0   \n",
       "1382380                  684.0                  680.0                 0.0   \n",
       "1382381                  594.0                  590.0                 0.0   \n",
       "\n",
       "         “公开可用的policy_code=1\\n未公开的新产品policy_code=2“ 指示贷款是单独申请还是与两个共同借款人联合申请  \\\n",
       "0                                               1.0              Individual   \n",
       "1                                               1.0              Individual   \n",
       "2                                               1.0               Joint App   \n",
       "3                                               1.0              Individual   \n",
       "4                                               1.0              Individual   \n",
       "...                                             ...                     ...   \n",
       "1382377                                         1.0              Individual   \n",
       "1382378                                         1.0              Individual   \n",
       "1382379                                         1.0              Individual   \n",
       "1382380                                         1.0              Individual   \n",
       "1382381                                         1.0              Individual   \n",
       "\n",
       "         借款人现在拖欠的账户数量。  曾经拖欠的收款总额  所有账户的总当前余额  总循环高信贷/信贷限额  过去24个月内开通的交易数量。  \\\n",
       "0                  0.0      722.0    144904.0       9300.0              4.0   \n",
       "1                  0.0        0.0    204396.0     111800.0              4.0   \n",
       "2                  0.0        0.0    189699.0      14000.0              6.0   \n",
       "3                  0.0        0.0    331730.0      34000.0             10.0   \n",
       "4                  0.0        0.0     12798.0      12900.0              0.0   \n",
       "...                ...        ...         ...          ...              ...   \n",
       "1382377            0.0        0.0    168758.0      70100.0              6.0   \n",
       "1382378            0.0        0.0    663465.0      86500.0              4.0   \n",
       "1382379            0.0        0.0    408701.0     207500.0             10.0   \n",
       "1382380            0.0        0.0     65797.0      14000.0              9.0   \n",
       "1382381            0.0        0.0     62426.0      25900.0              7.0   \n",
       "\n",
       "         所有账户的平均活期余额  在循环银行卡上完全开放购买。  所有银行卡账户的总当前余额与高信用/信用限额的比率。  12个月内注销次数  \\\n",
       "0            20701.0          1506.0                        37.2        0.0   \n",
       "1             9733.0         57830.0                        27.1        0.0   \n",
       "2            31617.0          2737.0                        55.9        0.0   \n",
       "3            27644.0          4567.0                        77.5        0.0   \n",
       "4             2560.0           844.0                        91.0        0.0   \n",
       "...              ...             ...                         ...        ...   \n",
       "1382377       9927.0          4161.0                        68.2        0.0   \n",
       "1382378      44231.0          8427.0                        69.4        0.0   \n",
       "1382379      29193.0         14118.0                        10.6        0.0   \n",
       "1382380       5982.0          2720.0                        73.1        0.0   \n",
       "1382381       6243.0          4660.0                        77.5        0.0   \n",
       "\n",
       "         借款人现在拖欠的账户的逾期欠款。  最早的银行分期付款账户开立后的月数  最旧循环账户开立后的月数  最近一个循环账户开立后的月数  \\\n",
       "0                     0.0              148.0         128.0             3.0   \n",
       "1                     0.0              113.0         192.0             2.0   \n",
       "2                     0.0              125.0         184.0            14.0   \n",
       "3                     0.0              128.0         210.0             4.0   \n",
       "4                     0.0              338.0          54.0            32.0   \n",
       "...                   ...                ...           ...             ...   \n",
       "1382377               0.0              113.0         146.0            17.0   \n",
       "1382378               0.0              145.0         174.0            31.0   \n",
       "1382379               0.0               53.0          63.0             4.0   \n",
       "1382380               0.0              147.0         229.0            17.0   \n",
       "1382381               0.0              132.0         206.0             9.0   \n",
       "\n",
       "         自最近一次开户以来的月数  抵押账户数量。  最近一个银行卡账户开立后的几个月。  逾期120天或以上的账户数  当前活动的银行卡帐户数  \\\n",
       "0                 3.0      1.0                4.0            2.0          2.0   \n",
       "1                 2.0      4.0                2.0            0.0          5.0   \n",
       "2                14.0      5.0              101.0            0.0          2.0   \n",
       "3                 4.0      6.0                4.0            0.0          4.0   \n",
       "4                32.0      0.0               36.0            0.0          2.0   \n",
       "...               ...      ...                ...            ...          ...   \n",
       "1382377          15.0      3.0               17.0            0.0          3.0   \n",
       "1382378           8.0      3.0               70.0            0.0          4.0   \n",
       "1382379           4.0      3.0                4.0            0.0          5.0   \n",
       "1382380           4.0      0.0               17.0            1.0          3.0   \n",
       "1382381           9.0      2.0                9.0            1.0          5.0   \n",
       "\n",
       "         当前活跃的循环交易数量  令人满意的银行卡账户数量  银行卡账户数  分期付款账户数  未结循环账户数  循环账户数量  \\\n",
       "0                4.0           2.0     5.0      3.0      4.0     9.0   \n",
       "1                5.0          13.0    17.0      6.0     20.0    27.0   \n",
       "2                3.0           2.0     4.0      6.0      4.0     7.0   \n",
       "3                6.0           5.0     9.0     10.0      7.0    19.0   \n",
       "4                3.0           2.0     2.0      2.0      4.0     4.0   \n",
       "...              ...           ...     ...      ...      ...     ...   \n",
       "1382377          9.0           3.0     5.0     21.0     10.0    15.0   \n",
       "1382378          5.0           7.0     9.0     17.0      8.0    10.0   \n",
       "1382379          8.0           7.0     7.0      4.0     11.0    11.0   \n",
       "1382380          4.0           4.0     5.0     15.0      6.0    11.0   \n",
       "1382381          7.0           5.0    15.0      4.0      8.0    24.0   \n",
       "\n",
       "         余额>0的循环交易数  满意账户数  当前逾期120天的账户数（在过去2个月内更新）  当前逾期30天的账户数（在过去2个月内更新）  \\\n",
       "0               4.0    7.0                      0.0                     0.0   \n",
       "1               5.0   22.0                      0.0                     0.0   \n",
       "2               3.0    6.0                      0.0                     0.0   \n",
       "3               6.0   12.0                      0.0                     0.0   \n",
       "4               3.0    5.0                      0.0                     0.0   \n",
       "...             ...    ...                      ...                     ...   \n",
       "1382377         9.0   17.0                      0.0                     0.0   \n",
       "1382378         5.0   16.0                      0.0                     0.0   \n",
       "1382379         8.0   14.0                      0.0                     0.0   \n",
       "1382380         4.0   12.0                      0.0                     0.0   \n",
       "1382381         7.0   10.0                      0.0                     0.0   \n",
       "\n",
       "         过去24个月内逾期90天或以上的账户数  过去12个月开立的账户数  从未拖欠的交易百分比  所有银行卡账户的百分比>限额的75%。  \\\n",
       "0                        0.0           3.0        76.9                  0.0   \n",
       "1                        0.0           2.0        97.4                  7.7   \n",
       "2                        0.0           0.0       100.0                 50.0   \n",
       "3                        0.0           4.0        96.6                 60.0   \n",
       "4                        0.0           0.0       100.0                100.0   \n",
       "...                      ...           ...         ...                  ...   \n",
       "1382377                  0.0           0.0       100.0                 33.3   \n",
       "1382378                  0.0           2.0       100.0                 42.9   \n",
       "1382379                  0.0           2.0       100.0                  0.0   \n",
       "1382380                  0.0           2.0        92.0                 50.0   \n",
       "1382381                  0.0           1.0        96.2                 40.0   \n",
       "\n",
       "         公共记录破产数  税收留置权数量  总高信贷/信贷限额  不包括抵押贷款的总信贷余额  银行卡高信用/信用限额合计  \\\n",
       "0            0.0      0.0   178050.0         7746.0         2400.0   \n",
       "1            0.0      0.0   314017.0        39475.0        79300.0   \n",
       "2            0.0      0.0   218418.0        18696.0         6200.0   \n",
       "3            0.0      0.0   439570.0        95768.0        20300.0   \n",
       "4            0.0      0.0    16900.0        12798.0         9400.0   \n",
       "...          ...      ...        ...            ...            ...   \n",
       "1382377      0.0      0.0   275356.0        54349.0        13100.0   \n",
       "1382378      0.0      0.0   719056.0       148305.0        56500.0   \n",
       "1382379      0.0      0.0   524379.0       122872.0        15800.0   \n",
       "1382380      3.0      0.0    87473.0        65797.0        10100.0   \n",
       "1382381      1.0      0.0    84664.0        62426.0        20700.0   \n",
       "\n",
       "         分期付款总额高信贷/信贷限额 标记借款人是否处于困难计划中 借款人获得贷款的方法。可能的值有：CASH、DIRECT_PAY  \\\n",
       "0               13734.0              N                             Cash   \n",
       "1               24667.0              N                             Cash   \n",
       "2               14877.0              N                             Cash   \n",
       "3               88097.0              N                             Cash   \n",
       "4                4000.0              N                             Cash   \n",
       "...                 ...            ...                              ...   \n",
       "1382377         77756.0              N                             Cash   \n",
       "1382378         95702.0              N                             Cash   \n",
       "1382379         23879.0              N                             Cash   \n",
       "1382380         73473.0              N                             Cash   \n",
       "1382381         58764.0              N                             Cash   \n",
       "\n",
       "        标记已注销的借款人是否与债务结算公司合作。  \n",
       "0                           N  \n",
       "1                           N  \n",
       "2                           N  \n",
       "3                           N  \n",
       "4                           N  \n",
       "...                       ...  \n",
       "1382377                     N  \n",
       "1382378                     N  \n",
       "1382379                     N  \n",
       "1382380                     N  \n",
       "1382381                     Y  \n",
       "\n",
       "[1382382 rows x 92 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a901d34",
   "metadata": {},
   "source": [
    "# 问题说明"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5831b591",
   "metadata": {},
   "source": [
    "你在LC公司工作，该公司专门向城市客户提供各种类型的贷款。当公司收到贷款申请时，公司必须根据申请人的资料做出批准贷款的决定。\n",
    "\n",
    "两种类型的风险与银行的决定有关：\n",
    "- 如果申请人有可能偿还贷款，那么不批准贷款会导致公司失去业务\n",
    "- 如果申请人不太可能偿还贷款，即他/她可能违约，那么批准贷款可能会给公司带来财务损失\n",
    "\n",
    "给出的数据包含有关过去贷款申请人的信息以及他们是否“违约”。\n",
    "\n",
    "目的是识别表明一个人是否可能违约的模式，这可用于采取行动，例如拒绝贷款、减少贷款金额、以更高的利率贷款（给有风险的申请人）等。\n",
    "\n",
    "当一个人申请贷款时，公司可以做出两种类型的决定：\n",
    "- Loan accepted：如果公司批准贷款，则主要有以下 3 种可能的情况：\n",
    "    - Fully Paid：申请人已全额支付贷款（本金和利率）\n",
    "    - Current：申请人正在支付分期付款，即贷款期限尚未结束。这些候选人没有被标记为“违约”。\n",
    "    - Charged-off: 申请人长期未按期还款，即拖欠贷款\n",
    "- Loan rejected：公司拒绝贷款（因为候选人不符合他们的要求等）。由于贷款被拒绝，这些申请人与公司没有交易历史，因此公司无法获得此数据（因此该数据集中未体现）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb2a2b9b",
   "metadata": {},
   "source": [
    "换句话说，公司想要了解贷款违约背后的驱动因素（或驱动变量），即作为违约强指标的变量。公司可以利用这些知识进行投资组合和风险评估。\n",
    "为了加深对该领域的理解，建议您独立研究一些风险分析（了解变量的类型及其重要性就足够了）。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cec03dbc",
   "metadata": {},
   "source": [
    "# 探索性数据分析\n",
    "总体目标: 了解哪些变量是重要的, 查看汇总统计数据, 做数据可视化"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ee7a940",
   "metadata": {},
   "source": [
    "- 0   贷款清单的唯一LC分配ID。  无缺失值 【可删】\n",
    "- 1   借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。    极少量缺失值  float64\n",
    "- 2   当时该笔贷款的承诺总额。                                         极少量缺失值  float64\n",
    "- 3   当时投资者承诺的贷款总额。                                       极少量缺失值  float64  float64\n",
    "\n",
    "1-3列似乎一致，缺失值什么情况？如何处理？\n",
    "1-3列似乎可以三选一\n",
    "\n",
    "- 4   贷款的付款次数。值以月为单位，可以是36或60。                       object \n",
    "\n",
    "适合把object数据类型转成int\n",
    "\n",
    "- 5   贷款利率                                                     float64\n",
    "- 6   如果贷款来源，借款人应每月支付的款项。                            float64\n",
    "- 7   LC指定贷款等级                                                object \n",
    "- 8   LC指定贷款路基                                                 object \n",
    "\n",
    "7-8列似乎可以二选一\n",
    "\n",
    "- 9   借款人申请贷款时提供的职位*                                           1293206 non-null  object \n",
    "\n",
    "空值似乎代表无职业or自由职业状态?如何填充？\n",
    "\n",
    "- 10  就业年限（年）。可能的值介于0和10之间，其中0表示少于一年，10表示十年或更长时间。              1300914 non-null  object \n",
    "\n",
    "9-10列空值不一致的思考？\n",
    "他们对放贷结果重要吗？是否需要做数值转换？\n",
    "\n",
    "- 11  借款人在登记期间提供的或从信用报告中获得的房屋所有权状态。我们的价值观是：出租、自有、抵押、其他       object \n",
    "\n",
    "似乎是重要信息！\n",
    "\n",
    "- 12  借款人在注册期间提供的自报年收入。                                        1382347 non-null  float64\n",
    "\n",
    "空值填充\n",
    "\n",
    "- 13  指示收入是否由信用证核实、未核实或收入来源是否已核实                         object \n",
    "- 14  贷款资助月份                                                   object \n",
    "- 15  贷款的当前状态                                                 object \n",
    "\n",
    "目标列！\n",
    "\n",
    "- 16  指示是否已为贷款制定付款计划                                      object \n",
    "- 17  带有列表数据的LC页面的URL。                                      object  【可删】\n",
    "- 18  借款人为贷款申请提供的类别。                                      object \n",
    "- 19  借款人提供的贷款名称                                               1365237 non-null  object 【可删】\n",
    "\n",
    "18-19列提供的信息趋同，可删19，因为缺失值更多且分类繁多\n",
    "\n",
    "- 20  借款人在贷款申请中提供的邮政编码的前3个数字。                                  1382350 non-null  object \n",
    "\n",
    "居住地？仅1个缺失值\n",
    "\n",
    "- 21  借款人在贷款申请中提供的状态                                      object\n",
    "\n",
    "贷款人贷款申请所在州\n",
    "\n",
    "- 22  一种比率，使用借款人每月债务总额除以总债务债务（不包括抵押贷款和要求的信用证贷款），再除以借款人自报的月收入。  1381939 non-null  float64\n",
    "\n",
    "似乎是重要信息！月收入为0的借款者应该无法计算。空值如何填充？\n",
    "\n",
    "- 23  过去2年借款人信用档案中逾期30天以上的拖欠事件                                 1382322 non-null  float64\n",
    "\n",
    "未搜索到的记录（空值）如何处理？\n",
    "\n",
    "- 24  借款人最早报告的信贷额度开通的月份                                        1382322 non-null  object \n",
    "\n",
    "空值似乎代表首次开通信贷（1382322）\n",
    "\n",
    "- 25  借款人在贷款发放时的FICO属于下限范围。                             float64     【可删】\n",
    "- 26  借款人在贷款发放时的FICO属于上限范围。                             float64     【可删】\n",
    "- 27  过去6个月的查询数量（不包括汽车和抵押贷款查询）                                 1382321 non-null  float64\n",
    "\n",
    "23/27列似乎有关联？\n",
    "\n",
    "- 28  借款人信用文件中未结信用额度的数量。                                       1382322 non-null  float64\n",
    "\n",
    "数量高似乎危险？\n",
    "\n",
    "- 29  贬损公共记录的数量                                                1382322 non-null  float64\n",
    "\n",
    "公开破产记录。\n",
    "\n",
    "- 30  信贷循环余额合计                                                 float64\n",
    "\n",
    "每月信用卡到期还款日前，若：当期应还金额>偿还金额>=当期账单最低还款额，剩余的延后还款金额即信贷循环余额\n",
    "\n",
    "- 31  循环额度使用率，或借款人使用的信贷金额相对于所有可用循环信贷。                          1381416 non-null  float64\n",
    "- 32  借款人信贷文件中当前的信贷额度总数                                        1382322 non-null  float64\n",
    "\n",
    "30-32似乎有一定关联性\n",
    "\n",
    "- 33  贷款的初始上市状态。可能的值为–W、F                                 object \n",
    "- 34  供资总额的剩余未偿本金                                            float64\n",
    "- 35  投资者出资总额部分的剩余未偿本金                                    float64\n",
    "\n",
    "34-35列，似乎是占比关系，可以二选一\n",
    "\n",
    "- 36  迄今收到的资金总额付款                                            float64\n",
    "- 37  迄今为止收到的投资者出资总额部分付款                                float64\n",
    "\n",
    "36-37列，似乎可以二选一\n",
    "\n",
    "- 38  迄今收到的本金                                                  float64\n",
    "- 39  迄今收到的利息                                                  float64\n",
    "- 40  迄今收到的滞纳金                                                 float64\n",
    "\n",
    "37 = 38+39+40\n",
    "\n",
    "- 41  注销后总回收率                                                  float64\n",
    "- 42  注销后收款费                                                   float64\n",
    "- 43  上月收到付款                                                   1379924 non-null  object \n",
    "- 44  上次收到的付款总额                                                float64\n",
    "- 45  最近一个月信用证收回了这笔贷款的信贷                                       1382294 non-null  object 【可删】\n",
    "- 46  借款人最后一次提取的FICO属于上限范围。                                    float64  【可删】\n",
    "- 47  借款人最后一次提取的FICO属于下限范围。                                    float64  【可删】\n",
    "- 48  12个月内的收集数量，不包括医疗收集                                       1382206 non-null  float64  【可删】\n",
    "- 49  “公开可用的policy_code=1，未公开的新产品policy_code=2“                float64    【可删】\n",
    "- 50  指示贷款是单独申请还是与两个共同借款人联合申请                                  object \n",
    "- 51  借款人现在拖欠的账户数量。                                            1382322 non-null  float64\n",
    "- 52  曾经拖欠的收款总额                                                1312075 non-null  float64\n",
    "\n",
    "该数据只针对有过拖欠记录的借款人（1312075）\n",
    "\n",
    "- 53  所有账户的总当前余额                                               1312075 non-null  float64\n",
    "- 54  总循环高信贷/信贷限额                                              1312075 non-null  float64\n",
    "\n",
    "52/53-54/62-64/67-69/71-75/78-80/85/88列似乎具有相关性，可做相同的空值处理\n",
    "\n",
    "**以下自行分析：**\n",
    "\n",
    "- 55  过去24个月内开通的交易数量。                                          1332321 non-null  float64\n",
    "- 56  所有账户的平均活期余额                                              1312052 non-null  float64\n",
    "- 57  在循环银行卡上完全开放购买。                                           1317980 non-null  float64\n",
    "- 58  所有银行卡账户的总当前余额与高信用/信用限额的比率。                               1317190 non-null  float64\n",
    "- 59  12个月内注销次数                                                1382206 non-null  float64\n",
    "- 60  借款人现在拖欠的账户的逾期欠款。                                         1382322 non-null  float64\n",
    "- 61  最早的银行分期付款账户开立后的月数                                        1272839 non-null  float64\n",
    "- 62  最旧循环账户开立后的月数                                             1312074 non-null  float64\n",
    "- 63  最近一个循环账户开立后的月数                                           1312074 non-null  float64\n",
    "- 64  自最近一次开户以来的月数                                             1312075 non-null  float64\n",
    "- 65  抵押账户数量。                                                  1332321 non-null  float64\n",
    "- 66  最近一个银行卡账户开立后的几个月。                                        1318939 non-null  float64\n",
    "- 67  逾期120天或以上的账户数                                            1312075 non-null  float64\n",
    "- 68  当前活动的银行卡帐户数                                              1312075 non-null  float64\n",
    "- 69  当前活跃的循环交易数量                                              1312075 non-null  float64\n",
    "- 70  令人满意的银行卡账户数量                                             1323761 non-null  float64\n",
    "- 71  银行卡账户数                                                   1312075 non-null  float64\n",
    "- 72  分期付款账户数                                                  1312075 non-null  float64\n",
    "- 73  未结循环账户数                                                  1312075 non-null  float64\n",
    "- 74  循环账户数量                                                   1312074 non-null  float64\n",
    "- 75  余额>0的循环交易数                                               1312075 non-null  float64\n",
    "- 76  满意账户数                                                    1323761 non-null  float64\n",
    "- 77  当前逾期120天的账户数（在过去2个月内更新）                                  1260121 non-null  float64\n",
    "- 78  当前逾期30天的账户数（在过去2个月内更新）                                   1312075 non-null  float64\n",
    "- 79  过去24个月内逾期90天或以上的账户数                                      1312075 non-null  float64\n",
    "- 80  过去12个月开立的账户数                                             1312075 non-null  float64\n",
    "- 81  从未拖欠的交易百分比                                               1311921 non-null  float64\n",
    "- 82  所有银行卡账户的百分比>限额的75%。                                      1317566 non-null  float64\n",
    "- 83  公共记录破产数                                                  1380986 non-null  float64\n",
    "- 84  税收留置权数量                                                  1382246 non-null  float64\n",
    "- 85  总高信贷/信贷限额                                                1312075 non-null  float64\n",
    "- 86  不包括抵押贷款的总信贷余额                                            1332321 non-null  float64\n",
    "- 87  银行卡高信用/信用限额合计                                            1332321 non-null  float64\n",
    "- 88  分期付款总额高信贷/信贷限额                                           1312075 non-null  float64\n",
    "- 89  标记借款人是否处于困难计划中                                           object \n",
    "- 90  借款人获得贷款的方法。可能的值有：CASH、DIRECT_PAY                         object \n",
    "- 91  标记已注销的借款人是否与债务结算公司合作。                                    object "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6fb6461",
   "metadata": {},
   "source": [
    "# 好的贷款和坏的贷款的定义，及其分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "76eaf344",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fully Paid                                             1076751\n",
       "Charged Off                                             268559\n",
       "Late (31-120 days)                                       21467\n",
       "In Grace Period                                           8436\n",
       "Late (16-30 days)                                         4349\n",
       "Does not meet the credit policy. Status:Fully Paid        1988\n",
       "Does not meet the credit policy. Status:Charged Off        761\n",
       "Default                                                     40\n",
       "Name: 贷款的当前状态, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['贷款的当前状态'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc547c82",
   "metadata": {},
   "source": [
    "本次需要进行预测的特征是用户是否会逾期，也就是一个二分类变量，逾期为1，未逾期为0。\n",
    "\n",
    "贷款状态解读： \n",
    "- Fully Paid（已经结清了贷款，完全到期还完） \n",
    "- Charged Off（坏账） \n",
    "- Late (31-120 days)（逾期了31到120天） \n",
    "- In Grace Period（处于宽限期） \n",
    "- Late (16-30 days) （逾期了16到30天） \n",
    "- Does not meet the credit policy. Status:Fully Paid（不满足信用卡政策：完全结清贷款） \n",
    "- Default (违约，还款期间违约了) \n",
    "- Does not meet the credit policy. Status:Charged Off（不满足信用卡政策：坏账）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79f5a0a3",
   "metadata": {},
   "source": [
    "从上面可以看出贷款的一些状态，好的贷款是没有出现逾期的，而坏的贷款则是出现了逾期，所以我们先对贷款状态进行一个分类：\n",
    "\n",
    "除了处于宽限期以及已经还款完成的，其他的都归为坏的贷款。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a7fdb8c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>贷款清单的唯一LC分配ID。</th>\n",
       "      <th>借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。</th>\n",
       "      <th>当时该笔贷款的承诺总额。</th>\n",
       "      <th>当时投资者承诺的贷款总额。</th>\n",
       "      <th>贷款的付款次数。值以月为单位，可以是36或60。</th>\n",
       "      <th>贷款利率</th>\n",
       "      <th>如果贷款来源，借款人应每月支付的款项。</th>\n",
       "      <th>LC指定贷款等级</th>\n",
       "      <th>LC指定贷款路基</th>\n",
       "      <th>借款人申请贷款时提供的职位*</th>\n",
       "      <th>就业年限（年）。可能的值介于0和10之间，其中0表示少于一年，10表示十年或更长时间。</th>\n",
       "      <th>借款人在登记期间提供的或从信用报告中获得的房屋所有权状态。我们的价值观是：出租、自有、抵押、其他</th>\n",
       "      <th>借款人在注册期间提供的自报年收入。</th>\n",
       "      <th>指示收入是否由信用证核实、未核实或收入来源是否已核实</th>\n",
       "      <th>贷款资助月份</th>\n",
       "      <th>贷款的当前状态</th>\n",
       "      <th>指示是否已为贷款制定付款计划</th>\n",
       "      <th>带有列表数据的LC页面的URL。</th>\n",
       "      <th>借款人为贷款申请提供的类别。</th>\n",
       "      <th>借款人提供的贷款名称</th>\n",
       "      <th>借款人在贷款申请中提供的邮政编码的前3个数字。</th>\n",
       "      <th>借款人在贷款申请中提供的状态</th>\n",
       "      <th>一种比率，使用借款人每月债务总额除以总债务债务（不包括抵押贷款和要求的信用证贷款），再除以借款人自报的月收入。</th>\n",
       "      <th>过去2年借款人信用档案中逾期30天以上的拖欠事件</th>\n",
       "      <th>借款人最早报告的信贷额度开通的月份</th>\n",
       "      <th>借款人在贷款发放时的FICO属于下限范围。</th>\n",
       "      <th>借款人在贷款发放时的FICO属于上限范围。</th>\n",
       "      <th>过去6个月的查询数量（不包括汽车和抵押贷款查询）</th>\n",
       "      <th>借款人信用文件中未结信用额度的数量。</th>\n",
       "      <th>贬损公共记录的数量</th>\n",
       "      <th>信贷循环余额合计</th>\n",
       "      <th>循环额度使用率，或借款人使用的信贷金额相对于所有可用循环信贷。</th>\n",
       "      <th>借款人信贷文件中当前的信贷额度总数</th>\n",
       "      <th>贷款的初始上市状态。可能的值为–W、F</th>\n",
       "      <th>供资总额的剩余未偿本金</th>\n",
       "      <th>投资者出资总额部分的剩余未偿本金</th>\n",
       "      <th>迄今收到的资金总额付款</th>\n",
       "      <th>迄今为止收到的投资者出资总额部分付款</th>\n",
       "      <th>迄今收到的本金</th>\n",
       "      <th>迄今收到的利息</th>\n",
       "      <th>迄今收到的滞纳金</th>\n",
       "      <th>注销后总回收率</th>\n",
       "      <th>注销后收款费</th>\n",
       "      <th>上月收到付款</th>\n",
       "      <th>上次收到的付款总额</th>\n",
       "      <th>最近一个月信用证收回了这笔贷款的信贷</th>\n",
       "      <th>借款人最后一次提取的FICO属于上限范围。</th>\n",
       "      <th>借款人最后一次提取的FICO属于下限范围。</th>\n",
       "      <th>12个月内的收集数量，不包括医疗收集</th>\n",
       "      <th>“公开可用的policy_code=1\\n未公开的新产品policy_code=2“</th>\n",
       "      <th>指示贷款是单独申请还是与两个共同借款人联合申请</th>\n",
       "      <th>借款人现在拖欠的账户数量。</th>\n",
       "      <th>曾经拖欠的收款总额</th>\n",
       "      <th>所有账户的总当前余额</th>\n",
       "      <th>总循环高信贷/信贷限额</th>\n",
       "      <th>过去24个月内开通的交易数量。</th>\n",
       "      <th>所有账户的平均活期余额</th>\n",
       "      <th>在循环银行卡上完全开放购买。</th>\n",
       "      <th>所有银行卡账户的总当前余额与高信用/信用限额的比率。</th>\n",
       "      <th>12个月内注销次数</th>\n",
       "      <th>借款人现在拖欠的账户的逾期欠款。</th>\n",
       "      <th>最早的银行分期付款账户开立后的月数</th>\n",
       "      <th>最旧循环账户开立后的月数</th>\n",
       "      <th>最近一个循环账户开立后的月数</th>\n",
       "      <th>自最近一次开户以来的月数</th>\n",
       "      <th>抵押账户数量。</th>\n",
       "      <th>最近一个银行卡账户开立后的几个月。</th>\n",
       "      <th>逾期120天或以上的账户数</th>\n",
       "      <th>当前活动的银行卡帐户数</th>\n",
       "      <th>当前活跃的循环交易数量</th>\n",
       "      <th>令人满意的银行卡账户数量</th>\n",
       "      <th>银行卡账户数</th>\n",
       "      <th>分期付款账户数</th>\n",
       "      <th>未结循环账户数</th>\n",
       "      <th>循环账户数量</th>\n",
       "      <th>余额&gt;0的循环交易数</th>\n",
       "      <th>满意账户数</th>\n",
       "      <th>当前逾期120天的账户数（在过去2个月内更新）</th>\n",
       "      <th>当前逾期30天的账户数（在过去2个月内更新）</th>\n",
       "      <th>过去24个月内逾期90天或以上的账户数</th>\n",
       "      <th>过去12个月开立的账户数</th>\n",
       "      <th>从未拖欠的交易百分比</th>\n",
       "      <th>所有银行卡账户的百分比&gt;限额的75%。</th>\n",
       "      <th>公共记录破产数</th>\n",
       "      <th>税收留置权数量</th>\n",
       "      <th>总高信贷/信贷限额</th>\n",
       "      <th>不包括抵押贷款的总信贷余额</th>\n",
       "      <th>银行卡高信用/信用限额合计</th>\n",
       "      <th>分期付款总额高信贷/信贷限额</th>\n",
       "      <th>标记借款人是否处于困难计划中</th>\n",
       "      <th>借款人获得贷款的方法。可能的值有：CASH、DIRECT_PAY</th>\n",
       "      <th>标记已注销的借款人是否与债务结算公司合作。</th>\n",
       "      <th>loan_status_new</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>68407277</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>13.99</td>\n",
       "      <td>123.03</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>leadman</td>\n",
       "      <td>10+ years</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>55000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>190xx</td>\n",
       "      <td>PA</td>\n",
       "      <td>5.91</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Aug-2003</td>\n",
       "      <td>675.0</td>\n",
       "      <td>679.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2765.0</td>\n",
       "      <td>29.7</td>\n",
       "      <td>13.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4421.723917</td>\n",
       "      <td>4421.72</td>\n",
       "      <td>3600.00</td>\n",
       "      <td>821.72</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jan-2019</td>\n",
       "      <td>122.67</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>564.0</td>\n",
       "      <td>560.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>722.0</td>\n",
       "      <td>144904.0</td>\n",
       "      <td>9300.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20701.0</td>\n",
       "      <td>1506.0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>76.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>178050.0</td>\n",
       "      <td>7746.0</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>13734.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>68355089</td>\n",
       "      <td>24700.0</td>\n",
       "      <td>24700.0</td>\n",
       "      <td>24700.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.99</td>\n",
       "      <td>820.28</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>10+ years</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>65000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>small_business</td>\n",
       "      <td>Business</td>\n",
       "      <td>577xx</td>\n",
       "      <td>SD</td>\n",
       "      <td>16.06</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Dec-1999</td>\n",
       "      <td>715.0</td>\n",
       "      <td>719.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21470.0</td>\n",
       "      <td>19.2</td>\n",
       "      <td>38.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25679.660000</td>\n",
       "      <td>25679.66</td>\n",
       "      <td>24700.00</td>\n",
       "      <td>979.66</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jun-2016</td>\n",
       "      <td>926.35</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>699.0</td>\n",
       "      <td>695.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>204396.0</td>\n",
       "      <td>111800.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9733.0</td>\n",
       "      <td>57830.0</td>\n",
       "      <td>27.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>97.4</td>\n",
       "      <td>7.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>314017.0</td>\n",
       "      <td>39475.0</td>\n",
       "      <td>79300.0</td>\n",
       "      <td>24667.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>68341763</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>10.78</td>\n",
       "      <td>432.66</td>\n",
       "      <td>B</td>\n",
       "      <td>B4</td>\n",
       "      <td>truck driver</td>\n",
       "      <td>10+ years</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>63000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>home_improvement</td>\n",
       "      <td>NaN</td>\n",
       "      <td>605xx</td>\n",
       "      <td>IL</td>\n",
       "      <td>10.78</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Aug-2000</td>\n",
       "      <td>695.0</td>\n",
       "      <td>699.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7869.0</td>\n",
       "      <td>56.2</td>\n",
       "      <td>18.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22705.924294</td>\n",
       "      <td>22705.92</td>\n",
       "      <td>20000.00</td>\n",
       "      <td>2705.92</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jun-2017</td>\n",
       "      <td>15813.30</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>704.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Joint App</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>189699.0</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>31617.0</td>\n",
       "      <td>2737.0</td>\n",
       "      <td>55.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>218418.0</td>\n",
       "      <td>18696.0</td>\n",
       "      <td>6200.0</td>\n",
       "      <td>14877.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>68476807</td>\n",
       "      <td>10400.0</td>\n",
       "      <td>10400.0</td>\n",
       "      <td>10400.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>22.45</td>\n",
       "      <td>289.91</td>\n",
       "      <td>F</td>\n",
       "      <td>F1</td>\n",
       "      <td>Contract Specialist</td>\n",
       "      <td>3 years</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>104433.0</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>major_purchase</td>\n",
       "      <td>Major purchase</td>\n",
       "      <td>174xx</td>\n",
       "      <td>PA</td>\n",
       "      <td>25.37</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Jun-1998</td>\n",
       "      <td>695.0</td>\n",
       "      <td>699.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21929.0</td>\n",
       "      <td>64.5</td>\n",
       "      <td>35.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11740.500000</td>\n",
       "      <td>11740.50</td>\n",
       "      <td>10400.00</td>\n",
       "      <td>1340.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jul-2016</td>\n",
       "      <td>10128.96</td>\n",
       "      <td>Mar-2018</td>\n",
       "      <td>704.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>331730.0</td>\n",
       "      <td>34000.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>27644.0</td>\n",
       "      <td>4567.0</td>\n",
       "      <td>77.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>96.6</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>439570.0</td>\n",
       "      <td>95768.0</td>\n",
       "      <td>20300.0</td>\n",
       "      <td>88097.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>68426831</td>\n",
       "      <td>11950.0</td>\n",
       "      <td>11950.0</td>\n",
       "      <td>11950.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>13.44</td>\n",
       "      <td>405.18</td>\n",
       "      <td>C</td>\n",
       "      <td>C3</td>\n",
       "      <td>Veterinary Tecnician</td>\n",
       "      <td>4 years</td>\n",
       "      <td>RENT</td>\n",
       "      <td>34000.0</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>300xx</td>\n",
       "      <td>GA</td>\n",
       "      <td>10.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Oct-1987</td>\n",
       "      <td>690.0</td>\n",
       "      <td>694.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8822.0</td>\n",
       "      <td>68.4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13708.948530</td>\n",
       "      <td>13708.95</td>\n",
       "      <td>11950.00</td>\n",
       "      <td>1758.95</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>May-2017</td>\n",
       "      <td>7653.56</td>\n",
       "      <td>May-2017</td>\n",
       "      <td>759.0</td>\n",
       "      <td>755.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12798.0</td>\n",
       "      <td>12900.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2560.0</td>\n",
       "      <td>844.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>338.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16900.0</td>\n",
       "      <td>12798.0</td>\n",
       "      <td>9400.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382377</th>\n",
       "      <td>89905081</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>9.49</td>\n",
       "      <td>377.95</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5 years</td>\n",
       "      <td>OWN</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>home_improvement</td>\n",
       "      <td>Home improvement</td>\n",
       "      <td>775xx</td>\n",
       "      <td>TX</td>\n",
       "      <td>20.59</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jul-2004</td>\n",
       "      <td>735.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23833.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20756.233632</td>\n",
       "      <td>20756.23</td>\n",
       "      <td>18000.00</td>\n",
       "      <td>2756.23</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Aug-2018</td>\n",
       "      <td>12828.77</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>709.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>168758.0</td>\n",
       "      <td>70100.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9927.0</td>\n",
       "      <td>4161.0</td>\n",
       "      <td>68.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>33.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275356.0</td>\n",
       "      <td>54349.0</td>\n",
       "      <td>13100.0</td>\n",
       "      <td>77756.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382378</th>\n",
       "      <td>88948836</td>\n",
       "      <td>29400.0</td>\n",
       "      <td>29400.0</td>\n",
       "      <td>29400.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>13.99</td>\n",
       "      <td>683.94</td>\n",
       "      <td>C</td>\n",
       "      <td>C3</td>\n",
       "      <td>Chief Operating Officer</td>\n",
       "      <td>9 years</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>180792.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>900xx</td>\n",
       "      <td>CA</td>\n",
       "      <td>22.03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mar-2002</td>\n",
       "      <td>705.0</td>\n",
       "      <td>709.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77480.0</td>\n",
       "      <td>85.2</td>\n",
       "      <td>32.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35848.764532</td>\n",
       "      <td>35848.76</td>\n",
       "      <td>29400.00</td>\n",
       "      <td>6448.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jul-2018</td>\n",
       "      <td>22192.81</td>\n",
       "      <td>Jul-2018</td>\n",
       "      <td>719.0</td>\n",
       "      <td>715.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>663465.0</td>\n",
       "      <td>86500.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>44231.0</td>\n",
       "      <td>8427.0</td>\n",
       "      <td>69.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>42.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>719056.0</td>\n",
       "      <td>148305.0</td>\n",
       "      <td>56500.0</td>\n",
       "      <td>95702.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382379</th>\n",
       "      <td>89996426</td>\n",
       "      <td>32000.0</td>\n",
       "      <td>32000.0</td>\n",
       "      <td>32000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>14.49</td>\n",
       "      <td>752.74</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>Sales Manager</td>\n",
       "      <td>3 years</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>157000.0</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>badloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>home_improvement</td>\n",
       "      <td>Home improvement</td>\n",
       "      <td>863xx</td>\n",
       "      <td>AZ</td>\n",
       "      <td>10.34</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jun-2011</td>\n",
       "      <td>735.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>111598.0</td>\n",
       "      <td>27.4</td>\n",
       "      <td>18.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3737.940000</td>\n",
       "      <td>3737.94</td>\n",
       "      <td>1876.47</td>\n",
       "      <td>1861.47</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mar-2017</td>\n",
       "      <td>752.74</td>\n",
       "      <td>Dec-2018</td>\n",
       "      <td>499.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>408701.0</td>\n",
       "      <td>207500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>29193.0</td>\n",
       "      <td>14118.0</td>\n",
       "      <td>10.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>524379.0</td>\n",
       "      <td>122872.0</td>\n",
       "      <td>15800.0</td>\n",
       "      <td>23879.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382380</th>\n",
       "      <td>90006534</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>12.79</td>\n",
       "      <td>362.34</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>Manager</td>\n",
       "      <td>10+ years</td>\n",
       "      <td>RENT</td>\n",
       "      <td>150000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>medical</td>\n",
       "      <td>Medical expenses</td>\n",
       "      <td>284xx</td>\n",
       "      <td>NC</td>\n",
       "      <td>12.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Aug-1997</td>\n",
       "      <td>665.0</td>\n",
       "      <td>669.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7700.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18660.607569</td>\n",
       "      <td>18660.61</td>\n",
       "      <td>16000.00</td>\n",
       "      <td>2660.61</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mar-2018</td>\n",
       "      <td>12874.54</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>684.0</td>\n",
       "      <td>680.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65797.0</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5982.0</td>\n",
       "      <td>2720.0</td>\n",
       "      <td>73.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>229.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87473.0</td>\n",
       "      <td>65797.0</td>\n",
       "      <td>10100.0</td>\n",
       "      <td>73473.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382381</th>\n",
       "      <td>88224441</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>14.49</td>\n",
       "      <td>564.56</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>Program Manager</td>\n",
       "      <td>6 years</td>\n",
       "      <td>RENT</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>badloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>334xx</td>\n",
       "      <td>FL</td>\n",
       "      <td>18.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jul-1999</td>\n",
       "      <td>660.0</td>\n",
       "      <td>664.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17641.0</td>\n",
       "      <td>68.1</td>\n",
       "      <td>31.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6755.400000</td>\n",
       "      <td>6755.40</td>\n",
       "      <td>3521.91</td>\n",
       "      <td>3233.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Oct-2017</td>\n",
       "      <td>564.56</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>594.0</td>\n",
       "      <td>590.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62426.0</td>\n",
       "      <td>25900.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6243.0</td>\n",
       "      <td>4660.0</td>\n",
       "      <td>77.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>96.2</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>84664.0</td>\n",
       "      <td>62426.0</td>\n",
       "      <td>20700.0</td>\n",
       "      <td>58764.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1382382 rows × 93 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        贷款清单的唯一LC分配ID。  借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。  \\\n",
       "0             68407277                                       3600.0   \n",
       "1             68355089                                      24700.0   \n",
       "2             68341763                                      20000.0   \n",
       "3             68476807                                      10400.0   \n",
       "4             68426831                                      11950.0   \n",
       "...                ...                                          ...   \n",
       "1382377       89905081                                      18000.0   \n",
       "1382378       88948836                                      29400.0   \n",
       "1382379       89996426                                      32000.0   \n",
       "1382380       90006534                                      16000.0   \n",
       "1382381       88224441                                      24000.0   \n",
       "\n",
       "         当时该笔贷款的承诺总额。  当时投资者承诺的贷款总额。 贷款的付款次数。值以月为单位，可以是36或60。   贷款利率  \\\n",
       "0              3600.0         3600.0                36 months  13.99   \n",
       "1             24700.0        24700.0                36 months  11.99   \n",
       "2             20000.0        20000.0                60 months  10.78   \n",
       "3             10400.0        10400.0                60 months  22.45   \n",
       "4             11950.0        11950.0                36 months  13.44   \n",
       "...               ...            ...                      ...    ...   \n",
       "1382377       18000.0        18000.0                60 months   9.49   \n",
       "1382378       29400.0        29400.0                60 months  13.99   \n",
       "1382379       32000.0        32000.0                60 months  14.49   \n",
       "1382380       16000.0        16000.0                60 months  12.79   \n",
       "1382381       24000.0        24000.0                60 months  14.49   \n",
       "\n",
       "         如果贷款来源，借款人应每月支付的款项。 LC指定贷款等级 LC指定贷款路基           借款人申请贷款时提供的职位*  \\\n",
       "0                     123.03        C       C4                  leadman   \n",
       "1                     820.28        C       C1                 Engineer   \n",
       "2                     432.66        B       B4             truck driver   \n",
       "3                     289.91        F       F1      Contract Specialist   \n",
       "4                     405.18        C       C3     Veterinary Tecnician   \n",
       "...                      ...      ...      ...                      ...   \n",
       "1382377               377.95        B       B2                      NaN   \n",
       "1382378               683.94        C       C3  Chief Operating Officer   \n",
       "1382379               752.74        C       C4            Sales Manager   \n",
       "1382380               362.34        C       C1                  Manager   \n",
       "1382381               564.56        C       C4          Program Manager   \n",
       "\n",
       "        就业年限（年）。可能的值介于0和10之间，其中0表示少于一年，10表示十年或更长时间。  \\\n",
       "0                                         10+ years   \n",
       "1                                         10+ years   \n",
       "2                                         10+ years   \n",
       "3                                           3 years   \n",
       "4                                           4 years   \n",
       "...                                             ...   \n",
       "1382377                                     5 years   \n",
       "1382378                                     9 years   \n",
       "1382379                                     3 years   \n",
       "1382380                                   10+ years   \n",
       "1382381                                     6 years   \n",
       "\n",
       "        借款人在登记期间提供的或从信用报告中获得的房屋所有权状态。我们的价值观是：出租、自有、抵押、其他  借款人在注册期间提供的自报年收入。  \\\n",
       "0                                               MORTGAGE            55000.0   \n",
       "1                                               MORTGAGE            65000.0   \n",
       "2                                               MORTGAGE            63000.0   \n",
       "3                                               MORTGAGE           104433.0   \n",
       "4                                                   RENT            34000.0   \n",
       "...                                                  ...                ...   \n",
       "1382377                                              OWN           130000.0   \n",
       "1382378                                         MORTGAGE           180792.0   \n",
       "1382379                                         MORTGAGE           157000.0   \n",
       "1382380                                             RENT           150000.0   \n",
       "1382381                                             RENT           110000.0   \n",
       "\n",
       "        指示收入是否由信用证核实、未核实或收入来源是否已核实    贷款资助月份    贷款的当前状态 指示是否已为贷款制定付款计划  \\\n",
       "0                     Not Verified  Dec-2015  goodloans              n   \n",
       "1                     Not Verified  Dec-2015  goodloans              n   \n",
       "2                     Not Verified  Dec-2015  goodloans              n   \n",
       "3                  Source Verified  Dec-2015  goodloans              n   \n",
       "4                  Source Verified  Dec-2015  goodloans              n   \n",
       "...                            ...       ...        ...            ...   \n",
       "1382377               Not Verified  Oct-2016  goodloans              n   \n",
       "1382378               Not Verified  Oct-2016  goodloans              n   \n",
       "1382379            Source Verified  Oct-2016   badloans              n   \n",
       "1382380               Not Verified  Oct-2016  goodloans              n   \n",
       "1382381               Not Verified  Oct-2016   badloans              n   \n",
       "\n",
       "                                          带有列表数据的LC页面的URL。  \\\n",
       "0        https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1        https://lendingclub.com/browse/loanDetail.acti...   \n",
       "2        https://lendingclub.com/browse/loanDetail.acti...   \n",
       "3        https://lendingclub.com/browse/loanDetail.acti...   \n",
       "4        https://lendingclub.com/browse/loanDetail.acti...   \n",
       "...                                                    ...   \n",
       "1382377  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382378  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382379  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382380  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382381  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "\n",
       "             借款人为贷款申请提供的类别。          借款人提供的贷款名称 借款人在贷款申请中提供的邮政编码的前3个数字。  \\\n",
       "0        debt_consolidation  Debt consolidation                   190xx   \n",
       "1            small_business            Business                   577xx   \n",
       "2          home_improvement                 NaN                   605xx   \n",
       "3            major_purchase      Major purchase                   174xx   \n",
       "4        debt_consolidation  Debt consolidation                   300xx   \n",
       "...                     ...                 ...                     ...   \n",
       "1382377    home_improvement    Home improvement                   775xx   \n",
       "1382378  debt_consolidation  Debt consolidation                   900xx   \n",
       "1382379    home_improvement    Home improvement                   863xx   \n",
       "1382380             medical    Medical expenses                   284xx   \n",
       "1382381  debt_consolidation  Debt consolidation                   334xx   \n",
       "\n",
       "        借款人在贷款申请中提供的状态  \\\n",
       "0                   PA   \n",
       "1                   SD   \n",
       "2                   IL   \n",
       "3                   PA   \n",
       "4                   GA   \n",
       "...                ...   \n",
       "1382377             TX   \n",
       "1382378             CA   \n",
       "1382379             AZ   \n",
       "1382380             NC   \n",
       "1382381             FL   \n",
       "\n",
       "         一种比率，使用借款人每月债务总额除以总债务债务（不包括抵押贷款和要求的信用证贷款），再除以借款人自报的月收入。  \\\n",
       "0                                                     5.91         \n",
       "1                                                    16.06         \n",
       "2                                                    10.78         \n",
       "3                                                    25.37         \n",
       "4                                                    10.20         \n",
       "...                                                    ...         \n",
       "1382377                                              20.59         \n",
       "1382378                                              22.03         \n",
       "1382379                                              10.34         \n",
       "1382380                                              12.25         \n",
       "1382381                                              18.30         \n",
       "\n",
       "         过去2年借款人信用档案中逾期30天以上的拖欠事件 借款人最早报告的信贷额度开通的月份  借款人在贷款发放时的FICO属于下限范围。  \\\n",
       "0                             0.0          Aug-2003                  675.0   \n",
       "1                             1.0          Dec-1999                  715.0   \n",
       "2                             0.0          Aug-2000                  695.0   \n",
       "3                             1.0          Jun-1998                  695.0   \n",
       "4                             0.0          Oct-1987                  690.0   \n",
       "...                           ...               ...                    ...   \n",
       "1382377                       0.0          Jul-2004                  735.0   \n",
       "1382378                       0.0          Mar-2002                  705.0   \n",
       "1382379                       0.0          Jun-2011                  735.0   \n",
       "1382380                       0.0          Aug-1997                  665.0   \n",
       "1382381                       0.0          Jul-1999                  660.0   \n",
       "\n",
       "         借款人在贷款发放时的FICO属于上限范围。  过去6个月的查询数量（不包括汽车和抵押贷款查询）  借款人信用文件中未结信用额度的数量。  \\\n",
       "0                        679.0                       1.0                 7.0   \n",
       "1                        719.0                       4.0                22.0   \n",
       "2                        699.0                       0.0                 6.0   \n",
       "3                        699.0                       3.0                12.0   \n",
       "4                        694.0                       0.0                 5.0   \n",
       "...                        ...                       ...                 ...   \n",
       "1382377                  739.0                       1.0                17.0   \n",
       "1382378                  709.0                       1.0                16.0   \n",
       "1382379                  739.0                       0.0                14.0   \n",
       "1382380                  669.0                       0.0                12.0   \n",
       "1382381                  664.0                       0.0                10.0   \n",
       "\n",
       "         贬损公共记录的数量  信贷循环余额合计  循环额度使用率，或借款人使用的信贷金额相对于所有可用循环信贷。  \\\n",
       "0              0.0    2765.0                             29.7   \n",
       "1              0.0   21470.0                             19.2   \n",
       "2              0.0    7869.0                             56.2   \n",
       "3              0.0   21929.0                             64.5   \n",
       "4              0.0    8822.0                             68.4   \n",
       "...            ...       ...                              ...   \n",
       "1382377        0.0   23833.0                             34.0   \n",
       "1382378        0.0   77480.0                             85.2   \n",
       "1382379        0.0  111598.0                             27.4   \n",
       "1382380        4.0    7700.0                             55.0   \n",
       "1382381        1.0   17641.0                             68.1   \n",
       "\n",
       "         借款人信贷文件中当前的信贷额度总数 贷款的初始上市状态。可能的值为–W、F  供资总额的剩余未偿本金  投资者出资总额部分的剩余未偿本金  \\\n",
       "0                     13.0                   w          0.0               0.0   \n",
       "1                     38.0                   w          0.0               0.0   \n",
       "2                     18.0                   w          0.0               0.0   \n",
       "3                     35.0                   w          0.0               0.0   \n",
       "4                      6.0                   w          0.0               0.0   \n",
       "...                    ...                 ...          ...               ...   \n",
       "1382377               39.0                   f          0.0               0.0   \n",
       "1382378               32.0                   f          0.0               0.0   \n",
       "1382379               18.0                   f          0.0               0.0   \n",
       "1382380               28.0                   f          0.0               0.0   \n",
       "1382381               31.0                   f          0.0               0.0   \n",
       "\n",
       "          迄今收到的资金总额付款  迄今为止收到的投资者出资总额部分付款   迄今收到的本金  迄今收到的利息  迄今收到的滞纳金  \\\n",
       "0         4421.723917             4421.72   3600.00   821.72       0.0   \n",
       "1        25679.660000            25679.66  24700.00   979.66       0.0   \n",
       "2        22705.924294            22705.92  20000.00  2705.92       0.0   \n",
       "3        11740.500000            11740.50  10400.00  1340.50       0.0   \n",
       "4        13708.948530            13708.95  11950.00  1758.95       0.0   \n",
       "...               ...                 ...       ...      ...       ...   \n",
       "1382377  20756.233632            20756.23  18000.00  2756.23       0.0   \n",
       "1382378  35848.764532            35848.76  29400.00  6448.76       0.0   \n",
       "1382379   3737.940000             3737.94   1876.47  1861.47       0.0   \n",
       "1382380  18660.607569            18660.61  16000.00  2660.61       0.0   \n",
       "1382381   6755.400000             6755.40   3521.91  3233.49       0.0   \n",
       "\n",
       "         注销后总回收率  注销后收款费    上月收到付款  上次收到的付款总额 最近一个月信用证收回了这笔贷款的信贷  \\\n",
       "0            0.0     0.0  Jan-2019     122.67           Mar-2019   \n",
       "1            0.0     0.0  Jun-2016     926.35           Mar-2019   \n",
       "2            0.0     0.0  Jun-2017   15813.30           Mar-2019   \n",
       "3            0.0     0.0  Jul-2016   10128.96           Mar-2018   \n",
       "4            0.0     0.0  May-2017    7653.56           May-2017   \n",
       "...          ...     ...       ...        ...                ...   \n",
       "1382377      0.0     0.0  Aug-2018   12828.77           Mar-2019   \n",
       "1382378      0.0     0.0  Jul-2018   22192.81           Jul-2018   \n",
       "1382379      0.0     0.0  Mar-2017     752.74           Dec-2018   \n",
       "1382380      0.0     0.0  Mar-2018   12874.54           Mar-2019   \n",
       "1382381      0.0     0.0  Oct-2017     564.56           Mar-2019   \n",
       "\n",
       "         借款人最后一次提取的FICO属于上限范围。  借款人最后一次提取的FICO属于下限范围。  12个月内的收集数量，不包括医疗收集  \\\n",
       "0                        564.0                  560.0                 0.0   \n",
       "1                        699.0                  695.0                 0.0   \n",
       "2                        704.0                  700.0                 0.0   \n",
       "3                        704.0                  700.0                 0.0   \n",
       "4                        759.0                  755.0                 0.0   \n",
       "...                        ...                    ...                 ...   \n",
       "1382377                  709.0                  705.0                 0.0   \n",
       "1382378                  719.0                  715.0                 0.0   \n",
       "1382379                  499.0                    0.0                 0.0   \n",
       "1382380                  684.0                  680.0                 0.0   \n",
       "1382381                  594.0                  590.0                 0.0   \n",
       "\n",
       "         “公开可用的policy_code=1\\n未公开的新产品policy_code=2“ 指示贷款是单独申请还是与两个共同借款人联合申请  \\\n",
       "0                                               1.0              Individual   \n",
       "1                                               1.0              Individual   \n",
       "2                                               1.0               Joint App   \n",
       "3                                               1.0              Individual   \n",
       "4                                               1.0              Individual   \n",
       "...                                             ...                     ...   \n",
       "1382377                                         1.0              Individual   \n",
       "1382378                                         1.0              Individual   \n",
       "1382379                                         1.0              Individual   \n",
       "1382380                                         1.0              Individual   \n",
       "1382381                                         1.0              Individual   \n",
       "\n",
       "         借款人现在拖欠的账户数量。  曾经拖欠的收款总额  所有账户的总当前余额  总循环高信贷/信贷限额  过去24个月内开通的交易数量。  \\\n",
       "0                  0.0      722.0    144904.0       9300.0              4.0   \n",
       "1                  0.0        0.0    204396.0     111800.0              4.0   \n",
       "2                  0.0        0.0    189699.0      14000.0              6.0   \n",
       "3                  0.0        0.0    331730.0      34000.0             10.0   \n",
       "4                  0.0        0.0     12798.0      12900.0              0.0   \n",
       "...                ...        ...         ...          ...              ...   \n",
       "1382377            0.0        0.0    168758.0      70100.0              6.0   \n",
       "1382378            0.0        0.0    663465.0      86500.0              4.0   \n",
       "1382379            0.0        0.0    408701.0     207500.0             10.0   \n",
       "1382380            0.0        0.0     65797.0      14000.0              9.0   \n",
       "1382381            0.0        0.0     62426.0      25900.0              7.0   \n",
       "\n",
       "         所有账户的平均活期余额  在循环银行卡上完全开放购买。  所有银行卡账户的总当前余额与高信用/信用限额的比率。  12个月内注销次数  \\\n",
       "0            20701.0          1506.0                        37.2        0.0   \n",
       "1             9733.0         57830.0                        27.1        0.0   \n",
       "2            31617.0          2737.0                        55.9        0.0   \n",
       "3            27644.0          4567.0                        77.5        0.0   \n",
       "4             2560.0           844.0                        91.0        0.0   \n",
       "...              ...             ...                         ...        ...   \n",
       "1382377       9927.0          4161.0                        68.2        0.0   \n",
       "1382378      44231.0          8427.0                        69.4        0.0   \n",
       "1382379      29193.0         14118.0                        10.6        0.0   \n",
       "1382380       5982.0          2720.0                        73.1        0.0   \n",
       "1382381       6243.0          4660.0                        77.5        0.0   \n",
       "\n",
       "         借款人现在拖欠的账户的逾期欠款。  最早的银行分期付款账户开立后的月数  最旧循环账户开立后的月数  最近一个循环账户开立后的月数  \\\n",
       "0                     0.0              148.0         128.0             3.0   \n",
       "1                     0.0              113.0         192.0             2.0   \n",
       "2                     0.0              125.0         184.0            14.0   \n",
       "3                     0.0              128.0         210.0             4.0   \n",
       "4                     0.0              338.0          54.0            32.0   \n",
       "...                   ...                ...           ...             ...   \n",
       "1382377               0.0              113.0         146.0            17.0   \n",
       "1382378               0.0              145.0         174.0            31.0   \n",
       "1382379               0.0               53.0          63.0             4.0   \n",
       "1382380               0.0              147.0         229.0            17.0   \n",
       "1382381               0.0              132.0         206.0             9.0   \n",
       "\n",
       "         自最近一次开户以来的月数  抵押账户数量。  最近一个银行卡账户开立后的几个月。  逾期120天或以上的账户数  当前活动的银行卡帐户数  \\\n",
       "0                 3.0      1.0                4.0            2.0          2.0   \n",
       "1                 2.0      4.0                2.0            0.0          5.0   \n",
       "2                14.0      5.0              101.0            0.0          2.0   \n",
       "3                 4.0      6.0                4.0            0.0          4.0   \n",
       "4                32.0      0.0               36.0            0.0          2.0   \n",
       "...               ...      ...                ...            ...          ...   \n",
       "1382377          15.0      3.0               17.0            0.0          3.0   \n",
       "1382378           8.0      3.0               70.0            0.0          4.0   \n",
       "1382379           4.0      3.0                4.0            0.0          5.0   \n",
       "1382380           4.0      0.0               17.0            1.0          3.0   \n",
       "1382381           9.0      2.0                9.0            1.0          5.0   \n",
       "\n",
       "         当前活跃的循环交易数量  令人满意的银行卡账户数量  银行卡账户数  分期付款账户数  未结循环账户数  循环账户数量  \\\n",
       "0                4.0           2.0     5.0      3.0      4.0     9.0   \n",
       "1                5.0          13.0    17.0      6.0     20.0    27.0   \n",
       "2                3.0           2.0     4.0      6.0      4.0     7.0   \n",
       "3                6.0           5.0     9.0     10.0      7.0    19.0   \n",
       "4                3.0           2.0     2.0      2.0      4.0     4.0   \n",
       "...              ...           ...     ...      ...      ...     ...   \n",
       "1382377          9.0           3.0     5.0     21.0     10.0    15.0   \n",
       "1382378          5.0           7.0     9.0     17.0      8.0    10.0   \n",
       "1382379          8.0           7.0     7.0      4.0     11.0    11.0   \n",
       "1382380          4.0           4.0     5.0     15.0      6.0    11.0   \n",
       "1382381          7.0           5.0    15.0      4.0      8.0    24.0   \n",
       "\n",
       "         余额>0的循环交易数  满意账户数  当前逾期120天的账户数（在过去2个月内更新）  当前逾期30天的账户数（在过去2个月内更新）  \\\n",
       "0               4.0    7.0                      0.0                     0.0   \n",
       "1               5.0   22.0                      0.0                     0.0   \n",
       "2               3.0    6.0                      0.0                     0.0   \n",
       "3               6.0   12.0                      0.0                     0.0   \n",
       "4               3.0    5.0                      0.0                     0.0   \n",
       "...             ...    ...                      ...                     ...   \n",
       "1382377         9.0   17.0                      0.0                     0.0   \n",
       "1382378         5.0   16.0                      0.0                     0.0   \n",
       "1382379         8.0   14.0                      0.0                     0.0   \n",
       "1382380         4.0   12.0                      0.0                     0.0   \n",
       "1382381         7.0   10.0                      0.0                     0.0   \n",
       "\n",
       "         过去24个月内逾期90天或以上的账户数  过去12个月开立的账户数  从未拖欠的交易百分比  所有银行卡账户的百分比>限额的75%。  \\\n",
       "0                        0.0           3.0        76.9                  0.0   \n",
       "1                        0.0           2.0        97.4                  7.7   \n",
       "2                        0.0           0.0       100.0                 50.0   \n",
       "3                        0.0           4.0        96.6                 60.0   \n",
       "4                        0.0           0.0       100.0                100.0   \n",
       "...                      ...           ...         ...                  ...   \n",
       "1382377                  0.0           0.0       100.0                 33.3   \n",
       "1382378                  0.0           2.0       100.0                 42.9   \n",
       "1382379                  0.0           2.0       100.0                  0.0   \n",
       "1382380                  0.0           2.0        92.0                 50.0   \n",
       "1382381                  0.0           1.0        96.2                 40.0   \n",
       "\n",
       "         公共记录破产数  税收留置权数量  总高信贷/信贷限额  不包括抵押贷款的总信贷余额  银行卡高信用/信用限额合计  \\\n",
       "0            0.0      0.0   178050.0         7746.0         2400.0   \n",
       "1            0.0      0.0   314017.0        39475.0        79300.0   \n",
       "2            0.0      0.0   218418.0        18696.0         6200.0   \n",
       "3            0.0      0.0   439570.0        95768.0        20300.0   \n",
       "4            0.0      0.0    16900.0        12798.0         9400.0   \n",
       "...          ...      ...        ...            ...            ...   \n",
       "1382377      0.0      0.0   275356.0        54349.0        13100.0   \n",
       "1382378      0.0      0.0   719056.0       148305.0        56500.0   \n",
       "1382379      0.0      0.0   524379.0       122872.0        15800.0   \n",
       "1382380      3.0      0.0    87473.0        65797.0        10100.0   \n",
       "1382381      1.0      0.0    84664.0        62426.0        20700.0   \n",
       "\n",
       "         分期付款总额高信贷/信贷限额 标记借款人是否处于困难计划中 借款人获得贷款的方法。可能的值有：CASH、DIRECT_PAY  \\\n",
       "0               13734.0              N                             Cash   \n",
       "1               24667.0              N                             Cash   \n",
       "2               14877.0              N                             Cash   \n",
       "3               88097.0              N                             Cash   \n",
       "4                4000.0              N                             Cash   \n",
       "...                 ...            ...                              ...   \n",
       "1382377         77756.0              N                             Cash   \n",
       "1382378         95702.0              N                             Cash   \n",
       "1382379         23879.0              N                             Cash   \n",
       "1382380         73473.0              N                             Cash   \n",
       "1382381         58764.0              N                             Cash   \n",
       "\n",
       "        标记已注销的借款人是否与债务结算公司合作。  loan_status_new  \n",
       "0                           N              NaN  \n",
       "1                           N              NaN  \n",
       "2                           N              NaN  \n",
       "3                           N              NaN  \n",
       "4                           N              NaN  \n",
       "...                       ...              ...  \n",
       "1382377                     N              NaN  \n",
       "1382378                     N              NaN  \n",
       "1382379                     N              NaN  \n",
       "1382380                     N              NaN  \n",
       "1382381                     Y              NaN  \n",
       "\n",
       "[1382382 rows x 93 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bad_loans = ['Charged Off','Late (31-120 days)','Late (16-30 days)',\n",
    "             'Does not meet the credit policy. Status:Fully Paid',\n",
    "            'Default','Does not meet the credit policy. Status:Charged Off']\n",
    "\n",
    "data['loan_status_new'] = np.nan\n",
    "\n",
    "def loan_status(status):\n",
    "    if status in bad_loans:\n",
    "        return 'badloans'\n",
    "    else:\n",
    "        return 'goodloans'\n",
    "    \n",
    "data['贷款的当前状态'] = data['贷款的当前状态'].apply(loan_status)\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3f88604",
   "metadata": {},
   "source": [
    "## 绘制饼图，查看好的贷款和坏账之间的比例分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1e6d9136",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'好坏账分布'}, ylabel='贷款的当前状态'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib as mpl\n",
    "\n",
    "mpl.rcParams['font.sans-serif'] = ['Heiti TC']\n",
    "mpl.rcParams['axes.unicode_minus'] = False # 解决保存图像是负号'-'显示为方块的问题,或者转换负号为字符串\n",
    "\n",
    "labels = 'goodloans','badloans'\n",
    "data['贷款的当前状态'].value_counts().plot.pie(labels = labels,autopct='%1.1f%%',title='好坏账分布')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afbf1f26",
   "metadata": {},
   "source": [
    "## 贷款年份（评级）分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "698366b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'贷款年份分布'}, xlabel='贷款资助年份'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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e0ftt27YBcP/990ff+F999VVuv/123nzzTQCqVKlClSpVeO+999iyZQtvvPEGf/nLXwAYMWIEDz/8MAkJCWzevJlbb72VqlWrctppp9GmTRuSk5NZs2YNU6ZM4Y033jhge0SkfCq3l6SWhK1bt7Jx40YaN25c5HXk5uZGYxI5OTns2rWLypUrH9F25d2xvf+gdUGVpmMspZAuSS31dEnqUVK5cuUjPoHHnriTk5OjMZDiWqeISCz1GYiISOSwScHMUszsRTP71MxmmllaWL7SzD4OX5ebWaKZjTGzOWY228zSw3rpZvaJmWWa2eiwXoHrxnf3RUQkVkFaCg2ASe7eGsgAHjazBsBid+8QvqYAVwPu7m2B3sBYM0sGngT6uHs7YBswoJB1RUSkhBx2TMHdlwHLzOwxYDDwB6A90NLMPgHeAX4LdAceCpdZY2bzgRbACndfFa5uNDAW+L4QdZ84kh1sOOKtI1n8AKv+eNFh67z//vtMmjQpuhKoqM4880w+//xzzjnnHCZNmqQbzEQk7go8puDuvwLOIDihfwg0BtKBusCVQE0gdu7n9UDPfMpqF7LuPsxskJnNNbO5GzduLOjmi4hIARy2pWBm7Qi+wW9y92VmdibwI3dfH37+OnA2sIngZL8uXLQOwTf9ETGrq0Nw4v++EHX34e7jgHEQXJJakJ08GtatW0efPn1Ys2YNubm5jBgxgksvvZTHH3+cF154geTkZJo3b86sWbP417/+xQknnMBvf/tbpk2bRmpqKh06dDjgITw7duzg17/+NfPmzWPv3r107tyZBx98kKSkJD799FOGDx/Ojh07qFSpEqeccgqNGzemd+/e9O/fn5NPPpklS5aQmprKq6++yp49e7j00kvJycnh2muvZfDgwUfpSIlIaVKQS1KbA/8D3GZm1Qi6jv5uZs2AbOAqYDLwJdAfuMXM6gKtgYVAYzOr5+5rgBuBqeFyBa17TJo3bx4fffQR9erVIysri169erFo0SKWLFnCzJkzSUpK4sMPP4zugB45ciS7du3ik08+ISEhgbfffpuxY8fus85bb72V008/nTFjxgDBjW2//e1vufPOO+nfvz9TpkyhcePGZGVl0bNnz+j+iDlz5jBmzBiaNm3K2LFjGTlyJD179uSkk07ipZdeyvfBPSJSPhWk++g54AQzywSmA3cCvwNmA58AK8OB5heB1LDeJCDD3XOAm4HJ4fhDFWB8Iesek37yk59E01FXrVqV3r1788ADDzBgwIDojuezzz6bZs2aAcHT02644YbozuILL7yQ+vXr77POjz76iJtuuil6/8tf/pIZM2awdOlSWrZsGSWBqlWrctVVV0X10tPTadq0KQBt2rRh7dq1dOrUiZ49e3L11Vfzn//8J05HQUSONYdNCu6e6+4D3b2du7d198nu/py7twzf3xXW2+3uGWG9Tu7+cVg+K7xCqb27Dw7rFbhufHc/ft5+++3oZPv9998zceJEfvOb3/DMM89E8xfNmjWLxYsXA9ClSxfGjh0bTWnxxhtvsHr16n3W2alTp33mVho3bhxdu3bltNNO47PPPmPFihUA/PDDD0ycODGqF/sAnYSEBHJzc8nKyuKKK67gwQcfVNeRiER0R3OcpKenc+utt/LNN9+Qm5vL7bffzqWXXsojjzxCeno6lStX5qyzzoqmixg2bBh33nknaWlpVKlSha5dux7w4Js//elP3HLLLXTo0IG9e/eSnp7OQw89RFJSEs888wwDBgwgJyeHGjVqkJaW7x3skaVLlzJs2DC+++47br/99rgdBxE5tmjuIyk0HWM5JM19VOodau4jTXMhIiIRJQUREYkoKYiISERJQUREIkoKIiISUVIQEZFI2b9PoaiXxx10fUf/srn+/fszePBg3nzzTc4888x9nu0sInIk1FIQEZFI2W8pHCWTJk3ioYceIjExkUaNGrF+/Xp+//vfM3XqVKZNm0ZCQgKnn346jz32GNWqVWPlypUMGTKEjRs3kpuby6BBgxg4cCAAEydOZOTIkVSsWJETTzyRH3744YB4jz/+OM8//zwVKlSgbt26PP7449SvX59NmzYxZMgQVq5cScWKFenevTuZmZlRK6Nv37688847ZGVl8eyzz9K6dWv69u3L0qVLad68Oc8++yxmVtKHT0SOEiWFOJg7dy6jRo3inXfeoVq1aixbtoyOHTvywQcfsHPnzmgm1BdeeIGMjAxefvll+vTpw6hRo+jQoQM7d+6kT58+NGjQgOrVqzNu3DimT59O5cqVWblyJR07dtwn3qRJk5g1axYfffQRSUlJvPfee/Tt25cPPviA6667joEDB9KrVy9yc3MZOnRotNy2bduoV68eM2bMYMmSJdxwww28++67fPbZZ8yfP5/t27crIYiUM+o+ioMPPviA/v37U61aNQCaNGlC165dee+997jpppuimVB/8YtfsHDhQrZs2UJKSgodOnQA4LjjjmPAgAHMmDGDmTNn0rdvXypXrgxAo0aN6N69+wHxBg4cGM2+2q1bN7Zv305OTg4rVqygV69eAFSoUCFqfQAkJSVxzTXXAHDGGWewZcsWEhMTeeqpp7juuut4991343eQRKRUUlKIg44dOzJ58mR27twJwKpVq5g5cyZdu3Zl/Pjx5M03NXHiRFq0aMEJJ5zArl27mD9/PgDZ2dk8//zzdOnShc6dOzNhwgS2bt0KwPLly5k+ffo+8bp06cJzzz3H7t3BpLIffvghlStXJjk5mcaNG/Pmm28CsHfvXp599tlouaSkpANaAu5Ow4YNefHFF7nzzjvJycmJwxESkdJK3Udx0KFDB372s5/RpUsXUlJSOOmkk2jSpAkXX3wxL7/8Mu3btychIYEmTZpED9J56aWXGDp0aDSmMHDgQHr27AnA9ddfT7du3UhJSaFx48a0bdt2n3i9e/dm3bp1dOrUiQoVKlCnTh0mTJgAwNNPP83gwYO57777qFSpEj/5yU/46quvDrrtW7Zs4frrr2f16tX06NGD5OTkOB0lESmNNEtqHCxatIixY8cyatQoKlasyPr16+nRoweZmZn7PNvgWFUajrGUYpoltdQ71CypainEQfPmzTn99NNp3749KSkpJCQkMHbs2DKREESkbFNSiJMhQ4YwZMiQo70ZIiKFUiYHmo/lLrHSTsdWpGw7bFIwsxQze9HMPjWzmWaWZmbpZvaJmWWa2WgzSwxfY8xsjpnNNrP0cPkjqlvYHUpJSWHz5s06ecWBu7N582Z1g4mUYQXpPmoATHL3KWbWHBgNVAMucfdVZvYgMADIBtzd25pZPeAtM2sPPHmEdZ8ozA7Vr1+f1atXs3HjxsIsJgWUkpJC/fr1j/ZmiEicHDYpuPsyYJmZPQYMBl4Btrj7qrDKaGAs8D3wULjMGjObD7QAVhxh3UIlhbxpJUREpPAKPNDs7r8ys9FAHyD2q+J6oHa4rg37lffMp6ywdUVEDk6XwBargowptDOzmhC1Gk4HasZUqUNwMt+UT/m0Yqi7//YMMrO5ZjZXXUQiIsWrIFcfNQeGA5hZNeAs4KxwLADgRmAqMB3oH9arC7QGFgKNj7DuPtx9nLunuXtarVq1CrGrIiJyOAXpPnoOeMLMMgED7gTWAZMtmDhnDjA+rDsqrLcbyHD3HDO7uRjqiohICSjIQHMuMDCfjzrkU5aRz/KziqGuiIiUgDJ585qIiBSNkoKIiESUFEREJKKkICIiESUFERGJKCmIiEhESUFERCJKCiIiElFSEBGRiJKCiIhElBRERCSipCAiIhElBRERiSgpiIhIRElBREQiSgoiIhJRUhARkYiSgoiIRJQUREQkoqQgIiKRQyYFM6toZuPM7GMzyzSzHmH5yrDsYzO73MwSzWyMmc0xs9lmlh7WSzezT8JlR4f1Clw3/rsvIiKxKh7m8xuAte4+yMxqAjPDxLDY3S/Kq2Rm/QF397ZmVg94y8zaA08Cl7j7KjN7EBgAZBei7hPFvL8iInIIh+s+WgiMBXD3TQQn9HSgZfit/l4zM6A78FRYbw0wH2gBrHD3VeG6RgO9CllXRERK0CGTgrt/6O4bAMzsNuAfwAygMUFyqAtcCdQENsQsuh7omU9Z7ULWPYCZDTKzuWY2d+PGjYfbPxERKYQCDTSb2WCgJXAH8K2773L3vcDrQGtgE8HJPk8dYFo+ZRsKWfcA7j7O3dPcPa1WrVoF2XwRESmgwyYFM7sJOBu4BjgB+MLMUs0sAbgK+ASYDvQP69clSBQLgcbhuAHAjcDUQtYVEZESdMiBZjPLAP5C0O8/MyweCcwGdgHT3H1KeKXQKDPLBHYDGe6eY2Y3A5PDcYc5wPhwHYWpKyIiJeSQScHdxxIONO/nqf3q7QYy8ll+FtAhn+ULU1dEREqIbl4TEZGIkoKIiESUFEREJKKkICIiESUFERGJKCmIiEhESUFERCJKCiIiElFSEBGRyOGepyAix7p7qhZxuazi3Q45JqilICIiESUFERGJKCmIiEhESUFERCJKCiIiElFSEBGRiJKCiIhElBRERCSipCAiIpFDJgUzq2hm48zsYzPLNLMeZpZuZp+E70ebWWL4GmNmc8xstpmlh8sfUd2SOAAiIvJfh5vm4gZgrbsPMrOawCwgG7jE3VeZ2YPAgLDM3b2tmdUD3jKz9sCTR1j3iTjss4iIHMThuo8WAmMB3H0TUA9Y7e6rws9HA72A7sBTYb01wHygBbDiCOuKiEgJOmRLwd0/zPvZzG4DMoH/xFRZD9QO17Nhv/Ke+ZQVtu4BzGwQMAigQYMGh9p8EREppAINNJvZYKAlcCNQM+ajOgQn8035lE8rhroHcPdx7p7m7mm1atUqyOaLiEgBHTYpmNlNwNnANcBXQONwLACCJDEVmA70D+vXBVoTdD0daV0RESlBh+w+MrMM4C8E/f4zw+KhwGQzM2AOMD4sH2VmmcBuIMPdc8zs5mKoKyIiJeRwYwpjCQea99Mhn7KMfJafVQx1RUSkhOjmNRERiSgpiIhIRElBREQiSgoiIhJRUhARkcjh5j4SEZFY91Qt4nJZxbsdcaKWgoiIRJQUREQkoqQgIiIRJQUREYkoKYiISERJQUREIkoKIiISUVIQEZGIkoKIiESUFEREJKKkICIiESUFERGJKCmIiEikQEnBzK40s9Vm1jumbKWZfRy+LjezRDMbY2ZzzGy2maWH9dLN7BMzyzSz0WG9AteNz26LiEh+CjR1trtPNLOmee/NrAGw2N0viinrH1T1tmZWD3jLzNoDTwKXuPsqM3sQGABkF6LuE8WzqyIicjhF7T5qD7QMv9Xfa2YGdAeeAnD3NcB8oAWwwt1XhcuNBnoVsq6IiJSQoiaFD4HGQDpQF7gSqAlsiKmzHuiZT1ntQtYVEZESUtSk8K2773L3vcDrQGtgE8HJPk8dYFo+ZRsKWXcfZjbIzOaa2dyNGzcWcfNFRCQ/hU4KZlYT+MLMUs0sAbgK+ASYDvQP69QlSBQLgcbhuAHAjcDUQtbdh7uPc/c0d0+rVatWYTdfREQOodDPaHb3TeEg8GxgFzDN3aeEVwqNMrNMYDeQ4e45ZnYzMDkcd5gDjA9XVZi6IiJSAgqcFNz9npifnwOe2+/z3UBGPsvNAjrks8rC1BURkRKgm9dERCSipCAiIhElBRERiSgpiIhIpNBXH4lIMbinahGXyyre7RDZj1oKIiISUVIQEZGIkoKIiESUFEREJKKkICIiESUFERGJKCmIiEhESUFERCJKCiIiElFSEBGRiJKCiIhElBRERCSipCAiIhElBRERiSgpiIhIpEBJwcyuNLPVZtY7fJ9uZp+YWaaZjTazxPA1xszmmNlsM0svjrrx23UREdlfgZKCu08EngYwswTgSaCPu7cDtgEDgKuDqt4W6A2MNbPkYqgrIiIlpCjdRycDK9x9Vfh+NNAL6A48BeDua4D5QItiqCsiIiWkKI/jrAlsiHm/Hqgdrmv/8p7FUHcfZjYIGATQoEGDImy+iIgcTFFaCpsIEkOeOgQn8/zKpxVD3X24+zh3T3P3tFq1ahVh80VE5GCKkhT+DTQ2s3rh+xuBqcB0oD+AmdUFWgMLi6GuiIiUkEJ3H7n7XjO7GZhsZgbMAcaHH48ys0xgN5Dh7jnFVFdEREpAgZOCu98T8/MsoEM+1TLyWa446oqISAnQzWsiIhJRUhARkYiSgoiIRJQUREQkoqQgIiIRJQUREYkoKYiISERJQUREIkWZEE9E5KAaZr9UpOVWFe9mSBGppSAiIhG1FETkmKaWSfFSS0FERCJKCiIiElH3kYhIaXZP1SIul1WkxdRSEBGRiJKCiIhElBRERCSipCAiIhElBRERiRQ5KZjZjWb2lZl9bGZvmVm6mX1iZplmNtrMEsPXGDObY2azzSw9XLbAdUVEpOQcySWp7YC+7j7HzBKABcAl7r7KzB4EBgDZgLt7WzOrB7xlZu2BJwtYt6277z6CbRQRkUI40qTQzMy2AsOAFe6+KvxsNDAW+B54CMDd15jZfKBFIeq2AuYcwTaKFEwJXwsuUlodSVK40N2/MbMzgM+Bp2M+Ww/UDte/Yb/ynvmUHaxu7SPYPhERKaQiJQUzS3D3bwDcfYmZ/QDUjKlSh+AE/31Yvi6mfCwwooB1Y5NEXuxBwCCABg0aFGXzRUSKrKxPwFfUgeY/hydnzKwF8BXQOBwLALgRmApMB/qH9eoCrYGFhai7YP/A7j7O3dPcPa1WrVpF3HwREclPUbuP7gdeMrMBwE7gWqAqMNnMjGAcYHxYd5SZZQK7gQx3zzGzmwtYV4PMIiIlqEhJwd03Az/J56MO+ZRl5LP8rILWFRGRkqNZUkXKuLLeBy7FS3c0i4hIRElBREQiSgoiIhJRUhARkYiSgoiIRJQUREQkoqQgIiIRJQUREYkoKYiISERJQUREIprmQkqnMv7QG009IaWVWgoiIhJRS0FEpBQr6ValWgoiIhJRUhARkYi6j6RgyvjAr4gE1FIQEZGIWgoi6BJRkTxqKYiISKRUtRTMLBF4DGgL7AH+191nH92tKqXUxy8icVCqkgJwNeDu3tbM6gFvmVlbd999tDdMSpa6c0SOjtKWFLoDDwG4+xozmw+0AuYczY0qiIYj3irScqv+eFHR4pXwSVMnaZHywdz9aG9DxMzeAfq7+7rw/QPALHd/M6bOIGBQ+PY0YGkRQtUENh3h5iqe4pWFeGV53xTv4E5y91r5fVDaWgqbCHZyXfi+DrAhtoK7jwPGHUkQM5vr7mlHsg7FU7yyEK8s75viFU1pu/poOtAfwMzqAq2BBUdxe0REypXSlhReBFLNLBOYBGRokFlEpOSUqu6jMAFklECoI+p+UjzFK0PxyvK+KV4RlKqBZhERObpKW/eRiIgcRUoKIiISUVIQEZGIkoKIiETKfFIwsyfMrE4Jx7zAzBqZ2Ylm9pKZjTWzGnGMd6mZ9TGzlHjFCONUMLMbzOxNM8s0s6lmNsjMKsQzbkkxs0QzG2Jmd4X3yeSV/yGOMbuYWW0za2Zmr5rZI2ZWOV7x9ov9QpzXf2nMzz81swdiy+Icu6qZjTSzMWaW7527xRCjTJ5bynxSAC4C/h7+QhZxatGCM7PHgf8B5gOdgduBxcD4OMV7FDgHuAD40szOiUec0KNAQ4LLhjsBNwEnAY/EMWZJehqoAiwDpphZ3p2iXeMRzMweAW4GPgPOBn4NrACeilO8CWb2vZktNLNFwOVmtsjMFsYjHnBbGPd3wPnATKB3+L7YmdmzMf9nYwj+7t4BnolHPMrqucXdy/QLmA0YwZ3SnxL84SXHMd4n4b9r9iv/OE7xPg7/rUAw/9xS4D4gIV6x8jvGcdq3hfm8FgEL4/W7EvNzHWAWkE4w/1ZcflfC381vY/+/4ng8jWDCybHh70tc4sTEm5XPcU3I+xuJQ7zWBCfJ+4DMmPKP4vX7UhbPLeWhpeCh54D2wF7gYzO7zswsDvESzOwkoJaZnQJgZpUIfnniwcwsGahOMGfUWUBt4M1DLlX0YCfu977uweoWg1Xu3mK/V3N3bxGneLlmdgKAu68HLgP+TNA6iodE4ASgg7vvBTCzH8UpVt4fwnAgE3gNSIpXrFAdM5sK1DOzvBtlk4DkeARz90+BdsDJwFlm1t7MGhM8myVOIcvguSVeWa20vICX8ymrSvBtolYc4vUGPgIuBj4naLrOAS6J0/79lOAb9GKgV0x5vTjESifo6niN4NvmJGAewUktHvuWWMK/K2cTtEQuiCmrRfxaJj0JZgXOe981PL4dS2BfuwCflkCcE8O/iR+FJ6/FwDUlEPdqgm/y/wSaxinG0Ti3zMzn3NKrOOOUizuaw4HQVgTfoDcAC9w9N47xKgItgXoE395XufvGOMarArQg6A+P6/6F34BO5r9T9v7by9AvUbh/ye6eHVNW093jPh2ymR3n7jvjHScm3o/c/duSihfGrOHum0syZllkZqlAM2C5u39XrOsuQ3/P+TKz9sATBN9oNxD0FbcCbnT3Yn94j5l1IBjkml+C8cZy4P5luHtmcccTkbKtPCSFj4CfuvvamLK6wER3P1vxChXrioN95u6vFWcsxVM8xTs68UrVLKlxkhh7wgRw93VmFq9BtrIc7zGCyyX3H9hygnEGxVM8xTvG45WHlsJogqsCniLoXqkJXAukuvtNileoWD9191eLc52Kp3iKV7rilYekUJHgSoTz+e/g6HTgJXcv9kvVyno8ESnbykP3kQMpBNfx1wRyw/fxyoZlNl54Fdf1QC+CSww3AFOB8fG42knxFE/xSj5eeWgpPA5sI7giaD3B1Tk3ApXdfYjilc5Yiqd4ineU4hX3DRal7UXJT81QZuOV5X1TPMVTvOBVHqa5KOmpGcp0vLK8b4qneIpXPsYUhgJTzWw18B+CaQsaheWKV3pjKZ7iKd7RiBePZk5pegHdCWYO3Qa8C5xKMFNjvGa+LLPxyvK+KZ7iKV7wKg/dR/cB6e5eiWByrN+G5fGatbQsxyvL+6Z4iqd4lI+H7Li7bwl/eJBg5sSXCOaTV7zSG0vxFE/xjkK88pAUFprZ3RY+ks/dRwMfEDx3QPFKbyzFUzzFOxrx4tH3VZpeBFn0JqDTfuU3Kl7pjaV4iqd4Rydemb95TURECq48dB+JiEgBKSlIuWFmlcysQvh0tbyyCvvVievfhJlVyy9GuF2HvW/IzK7Iu2HJzBLMLDGO07JLOaSkIOXJX4FfAKea2TwzSwOehOBRmGZWE+hlZmPNrEaYRD4zsx/FrsTM0swsJfy5j5k9GfNZhbyTvpn92cwWmdlMM/skrDIauCafbetNwebEfzBc97nArwmuV/9rwQ+ByKEpKUi5YGa/IZhA7K/ADoIHrHcFKprZP4EmwDDgcoJn3/4auDSsd5OZ3Wtmp4er6wV8GE45cAfQwcxWmdn7wPfAcWG93cAv3b0z4GZWH0gCEs2ss5nVC7ftOOB+gmQ108xmm9lHZjbHzKbF7ENzYI67rwu3IdPduwBVY1s/IkdCA81S5plZE+AW4DSCZ01UJZhavDlwFcHfwfdm9i+gMnACwTQC7wE/hP9OAC4IT8h539RrAcuBXwHVCBLEae4+OazzR2Cau79vZh8D24FuQHa4aX2B14EXgC/c/Q/hcl+6++nhz0nuviv8+REgC3gAmAu0dvdcM7sb+NLdJxbzoZNySElByoWwu+cNd+8RU/a/wMUEz6B4DDie4MQNwfMp6gHfAicCy939RTM7BXgcWEXQ3XMtMAnIBJ4D1gH3u/vSMCn0JGg9pBC0PB4CRgJXAh8C7wCdgeuAhsAeID1cXzLwJ3d/PRxH+BLISwynevhkPTOrBswBrnX3mcVzxKS8Kg8T4ong7tlmts3M3iN4fCkE3aepwL0E0wb0I2gpAKS4+x/N7CbgO3d/MSxfRdDNdAfwe4KEMoT/TjUwFlgRE3poXkvB3TeYWWVgSxh3p7vvBT4ws3uBy8IWy5cE89wkEyQJgP4E4wcpwAXAZjP7Ptyek4DbCB6yJHJElBSkPGng7mlm1hLY7e6Lw5P122Z2HjAA2EVw4jUz+xw4nWAMAgAPHnH6pZk1d/dWZtYb2ODuH5rZ5+4+a7+Yj4Yn72gbCFoTqUC2maWG5fuMCYRx9phZcljnTwTjHWcCHQgSwd3ufp2Z/QOY6O6xcUSKRAPNUp7khP8OB+qFJ9svAdz9XYLun7z++rcIunfSgUZmlrzfuvL+dgby3y6n/Ax193OAhHBgOdfddxMMRmcTdCPNABKBN81sJtAgHGj+GPgIuMpjHrfoQZ/v2cCnYVE1gpkzRY6YWgpS5oX3IjQA7jGz0QTJYSfByXiemTUlaB2cQ9BnD7AWGAW8SdDd87KZXe/hhGRAfzPLIBiQbh6u93UzSwm7qmoDrYE2ZnZfGPMR4G9hF9JpQJa7P0eQjPK2NYFg0LhTPruSGLM/g4A+4c81wpaFyBFTS0HKgwTgjwSDyq+7+4BwQLYd8D7BYPAC4GbgCWAxwUPRjyeYrngMwVVIPwIws3sI7hfIBW5w97+G60gERoQxs4FpwO0EVxyNIRhI/gvB4PKX7r4yn209Hqh0kP04Ifz3AeBVgkHw98OfRYqFrj4SKSFmVsndt5mZ+RH84ZlZQjhALVLslBRERCSi7iMREYkoKYiISERJQUREIkoKIiISUVIQEZHI/wPmksFCEKSa4gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "date_loan = pd.to_datetime(data['贷款资助月份']) #\n",
    "data['贷款资助年份'] = date_loan.dt.year.astype('int16') # 提取出来年份\n",
    "cnt = pd.crosstab(data['贷款资助年份'], data['贷款的当前状态']) \n",
    "cnt.plot.bar(stacked=True,title='贷款年份分布') \n",
    "#分期付款的还未记录进去，保留current的数据再代入才有意义，这个没有意义\n",
    "#2007年到2015年，lending club交易量逐年上升，从2012年之后进入了高速发展期，交易量急速攀升。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "700668c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'贷款评级分布'}, xlabel='LC指定贷款路基'>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cnt2 = pd.crosstab(data['LC指定贷款路基'], data['贷款的当前状态']) \n",
    "cnt2.plot.bar(stacked=True,title='贷款评级分布')  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b87777a5",
   "metadata": {},
   "source": [
    "## 请根据个人理解选择性的画出需要的图\n",
    "\n",
    "例如：\n",
    "\n",
    "- 用户画像分析\n",
    "    - 用户工作年限分布\n",
    "    - 用户年收入分布（pd.cut划分区间）\n",
    "    - 用户房子状态分布\n",
    "    - 用户工作职位分布\n",
    "    - 贷款目的分布\n",
    "- 贷款数据\n",
    "    - 贷款期数分布\n",
    "    - 贷款等级和贷款利率之间分布\n",
    "    - 每年平台的贷款利率水平（箱型图）\n",
    "等等。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a7ba2cc",
   "metadata": {},
   "source": [
    "## 缺失值处理\n",
    "\n",
    "以下仅为演示，需自行判断并完成操作"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d8eb204a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>贷款清单的唯一LC分配ID。</th>\n",
       "      <th>借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。</th>\n",
       "      <th>当时该笔贷款的承诺总额。</th>\n",
       "      <th>当时投资者承诺的贷款总额。</th>\n",
       "      <th>贷款的付款次数。值以月为单位，可以是36或60。</th>\n",
       "      <th>贷款利率</th>\n",
       "      <th>如果贷款来源，借款人应每月支付的款项。</th>\n",
       "      <th>LC指定贷款等级</th>\n",
       "      <th>LC指定贷款路基</th>\n",
       "      <th>借款人申请贷款时提供的职位*</th>\n",
       "      <th>就业年限（年）。可能的值介于0和10之间，其中0表示少于一年，10表示十年或更长时间。</th>\n",
       "      <th>借款人在登记期间提供的或从信用报告中获得的房屋所有权状态。我们的价值观是：出租、自有、抵押、其他</th>\n",
       "      <th>借款人在注册期间提供的自报年收入。</th>\n",
       "      <th>指示收入是否由信用证核实、未核实或收入来源是否已核实</th>\n",
       "      <th>贷款资助月份</th>\n",
       "      <th>贷款的当前状态</th>\n",
       "      <th>指示是否已为贷款制定付款计划</th>\n",
       "      <th>带有列表数据的LC页面的URL。</th>\n",
       "      <th>借款人为贷款申请提供的类别。</th>\n",
       "      <th>借款人提供的贷款名称</th>\n",
       "      <th>借款人在贷款申请中提供的邮政编码的前3个数字。</th>\n",
       "      <th>借款人在贷款申请中提供的状态</th>\n",
       "      <th>一种比率，使用借款人每月债务总额除以总债务债务（不包括抵押贷款和要求的信用证贷款），再除以借款人自报的月收入。</th>\n",
       "      <th>过去2年借款人信用档案中逾期30天以上的拖欠事件</th>\n",
       "      <th>借款人最早报告的信贷额度开通的月份</th>\n",
       "      <th>借款人在贷款发放时的FICO属于下限范围。</th>\n",
       "      <th>借款人在贷款发放时的FICO属于上限范围。</th>\n",
       "      <th>过去6个月的查询数量（不包括汽车和抵押贷款查询）</th>\n",
       "      <th>借款人信用文件中未结信用额度的数量。</th>\n",
       "      <th>贬损公共记录的数量</th>\n",
       "      <th>信贷循环余额合计</th>\n",
       "      <th>循环额度使用率，或借款人使用的信贷金额相对于所有可用循环信贷。</th>\n",
       "      <th>借款人信贷文件中当前的信贷额度总数</th>\n",
       "      <th>贷款的初始上市状态。可能的值为–W、F</th>\n",
       "      <th>供资总额的剩余未偿本金</th>\n",
       "      <th>投资者出资总额部分的剩余未偿本金</th>\n",
       "      <th>迄今收到的资金总额付款</th>\n",
       "      <th>迄今为止收到的投资者出资总额部分付款</th>\n",
       "      <th>迄今收到的本金</th>\n",
       "      <th>迄今收到的利息</th>\n",
       "      <th>迄今收到的滞纳金</th>\n",
       "      <th>注销后总回收率</th>\n",
       "      <th>注销后收款费</th>\n",
       "      <th>上月收到付款</th>\n",
       "      <th>上次收到的付款总额</th>\n",
       "      <th>最近一个月信用证收回了这笔贷款的信贷</th>\n",
       "      <th>借款人最后一次提取的FICO属于上限范围。</th>\n",
       "      <th>借款人最后一次提取的FICO属于下限范围。</th>\n",
       "      <th>12个月内的收集数量，不包括医疗收集</th>\n",
       "      <th>“公开可用的policy_code=1\\n未公开的新产品policy_code=2“</th>\n",
       "      <th>指示贷款是单独申请还是与两个共同借款人联合申请</th>\n",
       "      <th>借款人现在拖欠的账户数量。</th>\n",
       "      <th>曾经拖欠的收款总额</th>\n",
       "      <th>所有账户的总当前余额</th>\n",
       "      <th>总循环高信贷/信贷限额</th>\n",
       "      <th>过去24个月内开通的交易数量。</th>\n",
       "      <th>所有账户的平均活期余额</th>\n",
       "      <th>在循环银行卡上完全开放购买。</th>\n",
       "      <th>所有银行卡账户的总当前余额与高信用/信用限额的比率。</th>\n",
       "      <th>12个月内注销次数</th>\n",
       "      <th>借款人现在拖欠的账户的逾期欠款。</th>\n",
       "      <th>最早的银行分期付款账户开立后的月数</th>\n",
       "      <th>最旧循环账户开立后的月数</th>\n",
       "      <th>最近一个循环账户开立后的月数</th>\n",
       "      <th>自最近一次开户以来的月数</th>\n",
       "      <th>抵押账户数量。</th>\n",
       "      <th>最近一个银行卡账户开立后的几个月。</th>\n",
       "      <th>逾期120天或以上的账户数</th>\n",
       "      <th>当前活动的银行卡帐户数</th>\n",
       "      <th>当前活跃的循环交易数量</th>\n",
       "      <th>令人满意的银行卡账户数量</th>\n",
       "      <th>银行卡账户数</th>\n",
       "      <th>分期付款账户数</th>\n",
       "      <th>未结循环账户数</th>\n",
       "      <th>循环账户数量</th>\n",
       "      <th>余额&gt;0的循环交易数</th>\n",
       "      <th>满意账户数</th>\n",
       "      <th>当前逾期120天的账户数（在过去2个月内更新）</th>\n",
       "      <th>当前逾期30天的账户数（在过去2个月内更新）</th>\n",
       "      <th>过去24个月内逾期90天或以上的账户数</th>\n",
       "      <th>过去12个月开立的账户数</th>\n",
       "      <th>从未拖欠的交易百分比</th>\n",
       "      <th>所有银行卡账户的百分比&gt;限额的75%。</th>\n",
       "      <th>公共记录破产数</th>\n",
       "      <th>税收留置权数量</th>\n",
       "      <th>总高信贷/信贷限额</th>\n",
       "      <th>不包括抵押贷款的总信贷余额</th>\n",
       "      <th>银行卡高信用/信用限额合计</th>\n",
       "      <th>分期付款总额高信贷/信贷限额</th>\n",
       "      <th>标记借款人是否处于困难计划中</th>\n",
       "      <th>借款人获得贷款的方法。可能的值有：CASH、DIRECT_PAY</th>\n",
       "      <th>标记已注销的借款人是否与债务结算公司合作。</th>\n",
       "      <th>loan_status_new</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>68416953</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>6.49</td>\n",
       "      <td>45.97</td>\n",
       "      <td>A</td>\n",
       "      <td>A2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>45000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>vacation</td>\n",
       "      <td>Vacation</td>\n",
       "      <td>967xx</td>\n",
       "      <td>HI</td>\n",
       "      <td>16.11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Dec-1987</td>\n",
       "      <td>745.0</td>\n",
       "      <td>749.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3717.0</td>\n",
       "      <td>21.2</td>\n",
       "      <td>37.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1598.983365</td>\n",
       "      <td>1598.98</td>\n",
       "      <td>1500.00</td>\n",
       "      <td>98.98</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Apr-2017</td>\n",
       "      <td>956.75</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>739.0</td>\n",
       "      <td>735.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>158643.0</td>\n",
       "      <td>17500.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15864.0</td>\n",
       "      <td>8818.0</td>\n",
       "      <td>27.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>336.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>97.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>179105.0</td>\n",
       "      <td>18400.0</td>\n",
       "      <td>12200.0</td>\n",
       "      <td>18050.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>68377020</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>5.32</td>\n",
       "      <td>451.73</td>\n",
       "      <td>A</td>\n",
       "      <td>A1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RENT</td>\n",
       "      <td>80000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>236xx</td>\n",
       "      <td>VA</td>\n",
       "      <td>20.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Apr-1993</td>\n",
       "      <td>775.0</td>\n",
       "      <td>779.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41593.0</td>\n",
       "      <td>21.4</td>\n",
       "      <td>47.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16241.275489</td>\n",
       "      <td>16241.28</td>\n",
       "      <td>15000.00</td>\n",
       "      <td>1241.28</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Sep-2018</td>\n",
       "      <td>2244.30</td>\n",
       "      <td>Sep-2018</td>\n",
       "      <td>799.0</td>\n",
       "      <td>795.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>330562.0</td>\n",
       "      <td>194800.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>13773.0</td>\n",
       "      <td>114609.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>272.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>97.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>537200.0</td>\n",
       "      <td>97129.0</td>\n",
       "      <td>119600.0</td>\n",
       "      <td>94400.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>68516545</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>7.49</td>\n",
       "      <td>777.55</td>\n",
       "      <td>A</td>\n",
       "      <td>A4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>132000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>498xx</td>\n",
       "      <td>MI</td>\n",
       "      <td>13.83</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Aug-1974</td>\n",
       "      <td>745.0</td>\n",
       "      <td>749.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33231.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27965.413567</td>\n",
       "      <td>27965.41</td>\n",
       "      <td>25000.00</td>\n",
       "      <td>2965.41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jan-2019</td>\n",
       "      <td>777.17</td>\n",
       "      <td>Dec-2018</td>\n",
       "      <td>734.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78666.0</td>\n",
       "      <td>69200.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5619.0</td>\n",
       "      <td>22487.0</td>\n",
       "      <td>53.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>137788.0</td>\n",
       "      <td>50636.0</td>\n",
       "      <td>48100.0</td>\n",
       "      <td>30190.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>68446591</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.48</td>\n",
       "      <td>82.42</td>\n",
       "      <td>B</td>\n",
       "      <td>B5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RENT</td>\n",
       "      <td>16488.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>064xx</td>\n",
       "      <td>CT</td>\n",
       "      <td>38.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Nov-2005</td>\n",
       "      <td>770.0</td>\n",
       "      <td>774.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2469.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>18.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2962.969249</td>\n",
       "      <td>2962.97</td>\n",
       "      <td>2500.00</td>\n",
       "      <td>462.97</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jan-2019</td>\n",
       "      <td>82.26</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>684.0</td>\n",
       "      <td>680.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20449.0</td>\n",
       "      <td>30100.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2045.0</td>\n",
       "      <td>18432.0</td>\n",
       "      <td>11.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51341.0</td>\n",
       "      <td>20449.0</td>\n",
       "      <td>20800.0</td>\n",
       "      <td>21241.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>68537498</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>7.49</td>\n",
       "      <td>466.53</td>\n",
       "      <td>A</td>\n",
       "      <td>A4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>45000.0</td>\n",
       "      <td>Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>913xx</td>\n",
       "      <td>CA</td>\n",
       "      <td>10.67</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Jan-1993</td>\n",
       "      <td>710.0</td>\n",
       "      <td>714.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16173.0</td>\n",
       "      <td>43.5</td>\n",
       "      <td>20.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16435.969059</td>\n",
       "      <td>16435.97</td>\n",
       "      <td>15000.00</td>\n",
       "      <td>1435.97</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Sep-2017</td>\n",
       "      <td>7587.50</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>754.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>194062.0</td>\n",
       "      <td>37200.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>24258.0</td>\n",
       "      <td>15785.0</td>\n",
       "      <td>30.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>226200.0</td>\n",
       "      <td>16173.0</td>\n",
       "      <td>22700.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382205</th>\n",
       "      <td>90041121</td>\n",
       "      <td>16700.0</td>\n",
       "      <td>16700.0</td>\n",
       "      <td>16700.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>14.49</td>\n",
       "      <td>574.75</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>38000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>809xx</td>\n",
       "      <td>CO</td>\n",
       "      <td>27.48</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Oct-1995</td>\n",
       "      <td>690.0</td>\n",
       "      <td>694.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32803.0</td>\n",
       "      <td>39.5</td>\n",
       "      <td>47.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18192.242429</td>\n",
       "      <td>18192.24</td>\n",
       "      <td>16700.00</td>\n",
       "      <td>1492.24</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jun-2017</td>\n",
       "      <td>13182.43</td>\n",
       "      <td>Feb-2019</td>\n",
       "      <td>704.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>98715.0</td>\n",
       "      <td>83000.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3656.0</td>\n",
       "      <td>35671.0</td>\n",
       "      <td>45.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>251.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>85.1</td>\n",
       "      <td>35.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>163200.0</td>\n",
       "      <td>42707.0</td>\n",
       "      <td>65200.0</td>\n",
       "      <td>10200.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382307</th>\n",
       "      <td>90195681</td>\n",
       "      <td>6400.0</td>\n",
       "      <td>6400.0</td>\n",
       "      <td>6400.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>19.99</td>\n",
       "      <td>237.82</td>\n",
       "      <td>D</td>\n",
       "      <td>D4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>18876.0</td>\n",
       "      <td>Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>114xx</td>\n",
       "      <td>NY</td>\n",
       "      <td>12.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>May-2006</td>\n",
       "      <td>670.0</td>\n",
       "      <td>674.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7380.0</td>\n",
       "      <td>70.3</td>\n",
       "      <td>11.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7439.211498</td>\n",
       "      <td>7439.21</td>\n",
       "      <td>6400.00</td>\n",
       "      <td>1039.21</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Sep-2017</td>\n",
       "      <td>5068.12</td>\n",
       "      <td>Nov-2018</td>\n",
       "      <td>634.0</td>\n",
       "      <td>630.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7380.0</td>\n",
       "      <td>10500.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1476.0</td>\n",
       "      <td>2320.0</td>\n",
       "      <td>76.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10500.0</td>\n",
       "      <td>7380.0</td>\n",
       "      <td>9700.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382316</th>\n",
       "      <td>90207805</td>\n",
       "      <td>13000.0</td>\n",
       "      <td>13000.0</td>\n",
       "      <td>13000.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>12.79</td>\n",
       "      <td>436.71</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>60000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>350xx</td>\n",
       "      <td>AL</td>\n",
       "      <td>20.59</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Oct-1975</td>\n",
       "      <td>670.0</td>\n",
       "      <td>674.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5977.0</td>\n",
       "      <td>43.3</td>\n",
       "      <td>29.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14765.525341</td>\n",
       "      <td>14765.53</td>\n",
       "      <td>13000.00</td>\n",
       "      <td>1765.53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Feb-2018</td>\n",
       "      <td>55.20</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>784.0</td>\n",
       "      <td>780.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>127362.0</td>\n",
       "      <td>13800.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11578.0</td>\n",
       "      <td>2768.0</td>\n",
       "      <td>60.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>491.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>89.3</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>187334.0</td>\n",
       "      <td>47814.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>51434.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382375</th>\n",
       "      <td>89007204</td>\n",
       "      <td>36400.0</td>\n",
       "      <td>36400.0</td>\n",
       "      <td>36400.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>14.49</td>\n",
       "      <td>856.24</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5 years</td>\n",
       "      <td>RENT</td>\n",
       "      <td>95000.0</td>\n",
       "      <td>Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>badloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>Credit card refinancing</td>\n",
       "      <td>906xx</td>\n",
       "      <td>CA</td>\n",
       "      <td>21.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Feb-1987</td>\n",
       "      <td>720.0</td>\n",
       "      <td>724.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55723.0</td>\n",
       "      <td>79.8</td>\n",
       "      <td>24.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2539.420000</td>\n",
       "      <td>2539.42</td>\n",
       "      <td>1265.29</td>\n",
       "      <td>1274.13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jan-2017</td>\n",
       "      <td>856.24</td>\n",
       "      <td>May-2017</td>\n",
       "      <td>554.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>481490.0</td>\n",
       "      <td>69800.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>43772.0</td>\n",
       "      <td>3676.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>355.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>529965.0</td>\n",
       "      <td>137277.0</td>\n",
       "      <td>43500.0</td>\n",
       "      <td>90665.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382377</th>\n",
       "      <td>89905081</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>9.49</td>\n",
       "      <td>377.95</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5 years</td>\n",
       "      <td>OWN</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>home_improvement</td>\n",
       "      <td>Home improvement</td>\n",
       "      <td>775xx</td>\n",
       "      <td>TX</td>\n",
       "      <td>20.59</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jul-2004</td>\n",
       "      <td>735.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23833.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20756.233632</td>\n",
       "      <td>20756.23</td>\n",
       "      <td>18000.00</td>\n",
       "      <td>2756.23</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Aug-2018</td>\n",
       "      <td>12828.77</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>709.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>168758.0</td>\n",
       "      <td>70100.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9927.0</td>\n",
       "      <td>4161.0</td>\n",
       "      <td>68.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>33.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275356.0</td>\n",
       "      <td>54349.0</td>\n",
       "      <td>13100.0</td>\n",
       "      <td>77756.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>89176 rows × 93 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        贷款清单的唯一LC分配ID。  借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。  \\\n",
       "61            68416953                                       1500.0   \n",
       "78            68377020                                      15000.0   \n",
       "118           68516545                                      25000.0   \n",
       "120           68446591                                       2500.0   \n",
       "124           68537498                                      15000.0   \n",
       "...                ...                                          ...   \n",
       "1382205       90041121                                      16700.0   \n",
       "1382307       90195681                                       6400.0   \n",
       "1382316       90207805                                      13000.0   \n",
       "1382375       89007204                                      36400.0   \n",
       "1382377       89905081                                      18000.0   \n",
       "\n",
       "         当时该笔贷款的承诺总额。  当时投资者承诺的贷款总额。 贷款的付款次数。值以月为单位，可以是36或60。   贷款利率  \\\n",
       "61             1500.0         1500.0                36 months   6.49   \n",
       "78            15000.0        15000.0                36 months   5.32   \n",
       "118           25000.0        25000.0                36 months   7.49   \n",
       "120            2500.0         2500.0                36 months  11.48   \n",
       "124           15000.0        15000.0                36 months   7.49   \n",
       "...               ...            ...                      ...    ...   \n",
       "1382205       16700.0        16700.0                36 months  14.49   \n",
       "1382307        6400.0         6400.0                36 months  19.99   \n",
       "1382316       13000.0        13000.0                36 months  12.79   \n",
       "1382375       36400.0        36400.0                60 months  14.49   \n",
       "1382377       18000.0        18000.0                60 months   9.49   \n",
       "\n",
       "         如果贷款来源，借款人应每月支付的款项。 LC指定贷款等级 LC指定贷款路基 借款人申请贷款时提供的职位*  \\\n",
       "61                     45.97        A       A2            NaN   \n",
       "78                    451.73        A       A1            NaN   \n",
       "118                   777.55        A       A4            NaN   \n",
       "120                    82.42        B       B5            NaN   \n",
       "124                   466.53        A       A4            NaN   \n",
       "...                      ...      ...      ...            ...   \n",
       "1382205               574.75        C       C4            NaN   \n",
       "1382307               237.82        D       D4            NaN   \n",
       "1382316               436.71        C       C1            NaN   \n",
       "1382375               856.24        C       C4            NaN   \n",
       "1382377               377.95        B       B2            NaN   \n",
       "\n",
       "        就业年限（年）。可能的值介于0和10之间，其中0表示少于一年，10表示十年或更长时间。  \\\n",
       "61                                              NaN   \n",
       "78                                              NaN   \n",
       "118                                             NaN   \n",
       "120                                             NaN   \n",
       "124                                             NaN   \n",
       "...                                             ...   \n",
       "1382205                                         NaN   \n",
       "1382307                                         NaN   \n",
       "1382316                                         NaN   \n",
       "1382375                                     5 years   \n",
       "1382377                                     5 years   \n",
       "\n",
       "        借款人在登记期间提供的或从信用报告中获得的房屋所有权状态。我们的价值观是：出租、自有、抵押、其他  借款人在注册期间提供的自报年收入。  \\\n",
       "61                                              MORTGAGE            45000.0   \n",
       "78                                                  RENT            80000.0   \n",
       "118                                             MORTGAGE           132000.0   \n",
       "120                                                 RENT            16488.0   \n",
       "124                                             MORTGAGE            45000.0   \n",
       "...                                                  ...                ...   \n",
       "1382205                                         MORTGAGE            38000.0   \n",
       "1382307                                         MORTGAGE            18876.0   \n",
       "1382316                                         MORTGAGE            60000.0   \n",
       "1382375                                             RENT            95000.0   \n",
       "1382377                                              OWN           130000.0   \n",
       "\n",
       "        指示收入是否由信用证核实、未核实或收入来源是否已核实    贷款资助月份    贷款的当前状态 指示是否已为贷款制定付款计划  \\\n",
       "61                    Not Verified  Dec-2015  goodloans              n   \n",
       "78                    Not Verified  Dec-2015  goodloans              n   \n",
       "118                   Not Verified  Dec-2015  goodloans              n   \n",
       "120                   Not Verified  Dec-2015  goodloans              n   \n",
       "124                       Verified  Dec-2015  goodloans              n   \n",
       "...                            ...       ...        ...            ...   \n",
       "1382205               Not Verified  Oct-2016  goodloans              n   \n",
       "1382307                   Verified  Oct-2016  goodloans              n   \n",
       "1382316               Not Verified  Oct-2016  goodloans              n   \n",
       "1382375                   Verified  Oct-2016   badloans              n   \n",
       "1382377               Not Verified  Oct-2016  goodloans              n   \n",
       "\n",
       "                                          带有列表数据的LC页面的URL。  \\\n",
       "61       https://lendingclub.com/browse/loanDetail.acti...   \n",
       "78       https://lendingclub.com/browse/loanDetail.acti...   \n",
       "118      https://lendingclub.com/browse/loanDetail.acti...   \n",
       "120      https://lendingclub.com/browse/loanDetail.acti...   \n",
       "124      https://lendingclub.com/browse/loanDetail.acti...   \n",
       "...                                                    ...   \n",
       "1382205  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382307  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382316  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382375  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382377  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "\n",
       "             借款人为贷款申请提供的类别。               借款人提供的贷款名称 借款人在贷款申请中提供的邮政编码的前3个数字。  \\\n",
       "61                 vacation                 Vacation                   967xx   \n",
       "78       debt_consolidation       Debt consolidation                   236xx   \n",
       "118      debt_consolidation       Debt consolidation                   498xx   \n",
       "120      debt_consolidation       Debt consolidation                   064xx   \n",
       "124      debt_consolidation       Debt consolidation                   913xx   \n",
       "...                     ...                      ...                     ...   \n",
       "1382205  debt_consolidation       Debt consolidation                   809xx   \n",
       "1382307  debt_consolidation       Debt consolidation                   114xx   \n",
       "1382316  debt_consolidation       Debt consolidation                   350xx   \n",
       "1382375         credit_card  Credit card refinancing                   906xx   \n",
       "1382377    home_improvement         Home improvement                   775xx   \n",
       "\n",
       "        借款人在贷款申请中提供的状态  \\\n",
       "61                  HI   \n",
       "78                  VA   \n",
       "118                 MI   \n",
       "120                 CT   \n",
       "124                 CA   \n",
       "...                ...   \n",
       "1382205             CO   \n",
       "1382307             NY   \n",
       "1382316             AL   \n",
       "1382375             CA   \n",
       "1382377             TX   \n",
       "\n",
       "         一种比率，使用借款人每月债务总额除以总债务债务（不包括抵押贷款和要求的信用证贷款），再除以借款人自报的月收入。  \\\n",
       "61                                                   16.11         \n",
       "78                                                   20.18         \n",
       "118                                                  13.83         \n",
       "120                                                  38.06         \n",
       "124                                                  10.67         \n",
       "...                                                    ...         \n",
       "1382205                                              27.48         \n",
       "1382307                                              12.84         \n",
       "1382316                                              20.59         \n",
       "1382375                                              21.50         \n",
       "1382377                                              20.59         \n",
       "\n",
       "         过去2年借款人信用档案中逾期30天以上的拖欠事件 借款人最早报告的信贷额度开通的月份  借款人在贷款发放时的FICO属于下限范围。  \\\n",
       "61                            0.0          Dec-1987                  745.0   \n",
       "78                            0.0          Apr-1993                  775.0   \n",
       "118                           0.0          Aug-1974                  745.0   \n",
       "120                           0.0          Nov-2005                  770.0   \n",
       "124                           3.0          Jan-1993                  710.0   \n",
       "...                           ...               ...                    ...   \n",
       "1382205                       3.0          Oct-1995                  690.0   \n",
       "1382307                       0.0          May-2006                  670.0   \n",
       "1382316                       0.0          Oct-1975                  670.0   \n",
       "1382375                       0.0          Feb-1987                  720.0   \n",
       "1382377                       0.0          Jul-2004                  735.0   \n",
       "\n",
       "         借款人在贷款发放时的FICO属于上限范围。  过去6个月的查询数量（不包括汽车和抵押贷款查询）  借款人信用文件中未结信用额度的数量。  \\\n",
       "61                       749.0                       0.0                12.0   \n",
       "78                       779.0                       1.0                30.0   \n",
       "118                      749.0                       1.0                14.0   \n",
       "120                      774.0                       1.0                12.0   \n",
       "124                      714.0                       0.0                10.0   \n",
       "...                        ...                       ...                 ...   \n",
       "1382205                  694.0                       1.0                28.0   \n",
       "1382307                  674.0                       0.0                 5.0   \n",
       "1382316                  674.0                       0.0                11.0   \n",
       "1382375                  724.0                       0.0                11.0   \n",
       "1382377                  739.0                       1.0                17.0   \n",
       "\n",
       "         贬损公共记录的数量  信贷循环余额合计  循环额度使用率，或借款人使用的信贷金额相对于所有可用循环信贷。  \\\n",
       "61             0.0    3717.0                             21.2   \n",
       "78             0.0   41593.0                             21.4   \n",
       "118            0.0   33231.0                             48.0   \n",
       "120            0.0    2469.0                              8.2   \n",
       "124            0.0   16173.0                             43.5   \n",
       "...            ...       ...                              ...   \n",
       "1382205        0.0   32803.0                             39.5   \n",
       "1382307        1.0    7380.0                             70.3   \n",
       "1382316        1.0    5977.0                             43.3   \n",
       "1382375        0.0   55723.0                             79.8   \n",
       "1382377        0.0   23833.0                             34.0   \n",
       "\n",
       "         借款人信贷文件中当前的信贷额度总数 贷款的初始上市状态。可能的值为–W、F  供资总额的剩余未偿本金  投资者出资总额部分的剩余未偿本金  \\\n",
       "61                    37.0                   w          0.0               0.0   \n",
       "78                    47.0                   w          0.0               0.0   \n",
       "118                   32.0                   w          0.0               0.0   \n",
       "120                   18.0                   w          0.0               0.0   \n",
       "124                   20.0                   w          0.0               0.0   \n",
       "...                    ...                 ...          ...               ...   \n",
       "1382205               47.0                   f          0.0               0.0   \n",
       "1382307               11.0                   f          0.0               0.0   \n",
       "1382316               29.0                   w          0.0               0.0   \n",
       "1382375               24.0                   f          0.0               0.0   \n",
       "1382377               39.0                   f          0.0               0.0   \n",
       "\n",
       "          迄今收到的资金总额付款  迄今为止收到的投资者出资总额部分付款   迄今收到的本金  迄今收到的利息  迄今收到的滞纳金  \\\n",
       "61        1598.983365             1598.98   1500.00    98.98       0.0   \n",
       "78       16241.275489            16241.28  15000.00  1241.28       0.0   \n",
       "118      27965.413567            27965.41  25000.00  2965.41       0.0   \n",
       "120       2962.969249             2962.97   2500.00   462.97       0.0   \n",
       "124      16435.969059            16435.97  15000.00  1435.97       0.0   \n",
       "...               ...                 ...       ...      ...       ...   \n",
       "1382205  18192.242429            18192.24  16700.00  1492.24       0.0   \n",
       "1382307   7439.211498             7439.21   6400.00  1039.21       0.0   \n",
       "1382316  14765.525341            14765.53  13000.00  1765.53       0.0   \n",
       "1382375   2539.420000             2539.42   1265.29  1274.13       0.0   \n",
       "1382377  20756.233632            20756.23  18000.00  2756.23       0.0   \n",
       "\n",
       "         注销后总回收率  注销后收款费    上月收到付款  上次收到的付款总额 最近一个月信用证收回了这笔贷款的信贷  \\\n",
       "61           0.0     0.0  Apr-2017     956.75           Mar-2019   \n",
       "78           0.0     0.0  Sep-2018    2244.30           Sep-2018   \n",
       "118          0.0     0.0  Jan-2019     777.17           Dec-2018   \n",
       "120          0.0     0.0  Jan-2019      82.26           Mar-2019   \n",
       "124          0.0     0.0  Sep-2017    7587.50           Mar-2019   \n",
       "...          ...     ...       ...        ...                ...   \n",
       "1382205      0.0     0.0  Jun-2017   13182.43           Feb-2019   \n",
       "1382307      0.0     0.0  Sep-2017    5068.12           Nov-2018   \n",
       "1382316      0.0     0.0  Feb-2018      55.20           Mar-2019   \n",
       "1382375      0.0     0.0  Jan-2017     856.24           May-2017   \n",
       "1382377      0.0     0.0  Aug-2018   12828.77           Mar-2019   \n",
       "\n",
       "         借款人最后一次提取的FICO属于上限范围。  借款人最后一次提取的FICO属于下限范围。  12个月内的收集数量，不包括医疗收集  \\\n",
       "61                       739.0                  735.0                 0.0   \n",
       "78                       799.0                  795.0                 0.0   \n",
       "118                      734.0                  730.0                 0.0   \n",
       "120                      684.0                  680.0                 0.0   \n",
       "124                      754.0                  750.0                 0.0   \n",
       "...                        ...                    ...                 ...   \n",
       "1382205                  704.0                  700.0                 0.0   \n",
       "1382307                  634.0                  630.0                 0.0   \n",
       "1382316                  784.0                  780.0                 0.0   \n",
       "1382375                  554.0                  550.0                 0.0   \n",
       "1382377                  709.0                  705.0                 0.0   \n",
       "\n",
       "         “公开可用的policy_code=1\\n未公开的新产品policy_code=2“ 指示贷款是单独申请还是与两个共同借款人联合申请  \\\n",
       "61                                              1.0              Individual   \n",
       "78                                              1.0              Individual   \n",
       "118                                             1.0              Individual   \n",
       "120                                             1.0              Individual   \n",
       "124                                             1.0              Individual   \n",
       "...                                             ...                     ...   \n",
       "1382205                                         1.0              Individual   \n",
       "1382307                                         1.0              Individual   \n",
       "1382316                                         1.0              Individual   \n",
       "1382375                                         1.0              Individual   \n",
       "1382377                                         1.0              Individual   \n",
       "\n",
       "         借款人现在拖欠的账户数量。  曾经拖欠的收款总额  所有账户的总当前余额  总循环高信贷/信贷限额  过去24个月内开通的交易数量。  \\\n",
       "61                 0.0        0.0    158643.0      17500.0              8.0   \n",
       "78                 0.0        0.0    330562.0     194800.0              6.0   \n",
       "118                0.0        0.0     78666.0      69200.0              6.0   \n",
       "120                0.0        0.0     20449.0      30100.0              5.0   \n",
       "124                0.0        0.0    194062.0      37200.0              1.0   \n",
       "...                ...        ...         ...          ...              ...   \n",
       "1382205            0.0        0.0     98715.0      83000.0              5.0   \n",
       "1382307            0.0        0.0      7380.0      10500.0              4.0   \n",
       "1382316            0.0        0.0    127362.0      13800.0              4.0   \n",
       "1382375            0.0        0.0    481490.0      69800.0              3.0   \n",
       "1382377            0.0        0.0    168758.0      70100.0              6.0   \n",
       "\n",
       "         所有账户的平均活期余额  在循环银行卡上完全开放购买。  所有银行卡账户的总当前余额与高信用/信用限额的比率。  12个月内注销次数  \\\n",
       "61           15864.0          8818.0                        27.7        0.0   \n",
       "78           13773.0        114609.0                         4.2        0.0   \n",
       "118           5619.0         22487.0                        53.2        0.0   \n",
       "120           2045.0         18432.0                        11.4        0.0   \n",
       "124          24258.0         15785.0                        30.5        0.0   \n",
       "...              ...             ...                         ...        ...   \n",
       "1382205       3656.0         35671.0                        45.3        0.0   \n",
       "1382307       1476.0          2320.0                        76.1        0.0   \n",
       "1382316      11578.0          2768.0                        60.5        0.0   \n",
       "1382375      43772.0          3676.0                        91.5        0.0   \n",
       "1382377       9927.0          4161.0                        68.2        0.0   \n",
       "\n",
       "         借款人现在拖欠的账户的逾期欠款。  最早的银行分期付款账户开立后的月数  最旧循环账户开立后的月数  最近一个循环账户开立后的月数  \\\n",
       "61                    0.0              123.0         336.0             6.0   \n",
       "78                    0.0              141.0         272.0             2.0   \n",
       "118                   0.0               77.0         496.0            19.0   \n",
       "120                   0.0              121.0         104.0            18.0   \n",
       "124                   0.0              275.0         182.0            18.0   \n",
       "...                   ...                ...           ...             ...   \n",
       "1382205               0.0               37.0         251.0             3.0   \n",
       "1382307               0.0              112.0         124.0             4.0   \n",
       "1382316               0.0              180.0         491.0             3.0   \n",
       "1382375               0.0               82.0         355.0             5.0   \n",
       "1382377               0.0              113.0         146.0            17.0   \n",
       "\n",
       "         自最近一次开户以来的月数  抵押账户数量。  最近一个银行卡账户开立后的几个月。  逾期120天或以上的账户数  当前活动的银行卡帐户数  \\\n",
       "61                3.0      4.0                6.0            0.0          1.0   \n",
       "78                2.0      2.0                2.0            0.0          7.0   \n",
       "118               1.0      3.0               19.0            0.0          1.0   \n",
       "120               8.0      0.0               20.0            0.0          1.0   \n",
       "124              18.0      2.0               27.0            0.0          2.0   \n",
       "...               ...      ...                ...            ...          ...   \n",
       "1382205           3.0      5.0                3.0            4.0          8.0   \n",
       "1382307           4.0      0.0                4.0            0.0          3.0   \n",
       "1382316           3.0      2.0               20.0            2.0          2.0   \n",
       "1382375           5.0      6.0               38.0            0.0          3.0   \n",
       "1382377          15.0      3.0               17.0            0.0          3.0   \n",
       "\n",
       "         当前活跃的循环交易数量  令人满意的银行卡账户数量  银行卡账户数  分期付款账户数  未结循环账户数  循环账户数量  \\\n",
       "61               3.0           4.0    15.0      8.0      9.0    25.0   \n",
       "78              12.0          12.0    19.0      6.0     28.0    39.0   \n",
       "118              3.0           4.0    10.0     11.0      9.0    17.0   \n",
       "120              2.0           4.0     6.0      5.0      8.0    11.0   \n",
       "124              4.0           5.0    11.0      1.0      9.0    17.0   \n",
       "...              ...           ...     ...      ...      ...     ...   \n",
       "1382205         12.0          14.0    23.0      2.0     26.0    40.0   \n",
       "1382307          3.0           4.0     7.0      1.0      5.0     9.0   \n",
       "1382316          5.0           2.0     5.0     10.0      8.0    17.0   \n",
       "1382375          5.0           4.0     6.0      5.0      7.0    13.0   \n",
       "1382377          9.0           3.0     5.0     21.0     10.0    15.0   \n",
       "\n",
       "         余额>0的循环交易数  满意账户数  当前逾期120天的账户数（在过去2个月内更新）  当前逾期30天的账户数（在过去2个月内更新）  \\\n",
       "61              3.0   12.0                      0.0                     0.0   \n",
       "78             12.0   30.0                      0.0                     0.0   \n",
       "118             4.0   14.0                      0.0                     0.0   \n",
       "120             2.0   12.0                      0.0                     0.0   \n",
       "124             4.0   10.0                      0.0                     0.0   \n",
       "...             ...    ...                      ...                     ...   \n",
       "1382205        12.0   28.0                      0.0                     0.0   \n",
       "1382307         3.0    5.0                      0.0                     0.0   \n",
       "1382316         5.0   11.0                      0.0                     0.0   \n",
       "1382375         5.0   11.0                      0.0                     0.0   \n",
       "1382377         9.0   17.0                      0.0                     0.0   \n",
       "\n",
       "         过去24个月内逾期90天或以上的账户数  过去12个月开立的账户数  从未拖欠的交易百分比  所有银行卡账户的百分比>限额的75%。  \\\n",
       "61                       0.0           4.0        97.2                  0.0   \n",
       "78                       0.0           2.0        97.9                  0.0   \n",
       "118                      0.0           3.0       100.0                 50.0   \n",
       "120                      0.0           1.0       100.0                  0.0   \n",
       "124                      0.0           0.0        85.0                  0.0   \n",
       "...                      ...           ...         ...                  ...   \n",
       "1382205                  0.0           4.0        85.1                 35.7   \n",
       "1382307                  0.0           1.0       100.0                 50.0   \n",
       "1382316                  0.0           2.0        89.3                 50.0   \n",
       "1382375                  0.0           2.0       100.0                 75.0   \n",
       "1382377                  0.0           0.0       100.0                 33.3   \n",
       "\n",
       "         公共记录破产数  税收留置权数量  总高信贷/信贷限额  不包括抵押贷款的总信贷余额  银行卡高信用/信用限额合计  \\\n",
       "61           0.0      0.0   179105.0        18400.0        12200.0   \n",
       "78           0.0      0.0   537200.0        97129.0       119600.0   \n",
       "118          0.0      0.0   137788.0        50636.0        48100.0   \n",
       "120          0.0      0.0    51341.0        20449.0        20800.0   \n",
       "124          0.0      0.0   226200.0        16173.0        22700.0   \n",
       "...          ...      ...        ...            ...            ...   \n",
       "1382205      0.0      0.0   163200.0        42707.0        65200.0   \n",
       "1382307      1.0      0.0    10500.0         7380.0         9700.0   \n",
       "1382316      0.0      0.0   187334.0        47814.0         7000.0   \n",
       "1382375      0.0      0.0   529965.0       137277.0        43500.0   \n",
       "1382377      0.0      0.0   275356.0        54349.0        13100.0   \n",
       "\n",
       "         分期付款总额高信贷/信贷限额 标记借款人是否处于困难计划中 借款人获得贷款的方法。可能的值有：CASH、DIRECT_PAY  \\\n",
       "61              18050.0              N                             Cash   \n",
       "78              94400.0              N                             Cash   \n",
       "118             30190.0              N                             Cash   \n",
       "120             21241.0              N                             Cash   \n",
       "124                 0.0              N                             Cash   \n",
       "...                 ...            ...                              ...   \n",
       "1382205         10200.0              N                             Cash   \n",
       "1382307             0.0              N                             Cash   \n",
       "1382316         51434.0              N                             Cash   \n",
       "1382375         90665.0              N                             Cash   \n",
       "1382377         77756.0              N                             Cash   \n",
       "\n",
       "        标记已注销的借款人是否与债务结算公司合作。  loan_status_new  \n",
       "61                          N              NaN  \n",
       "78                          N              NaN  \n",
       "118                         N              NaN  \n",
       "120                         N              NaN  \n",
       "124                         N              NaN  \n",
       "...                       ...              ...  \n",
       "1382205                     N              NaN  \n",
       "1382307                     N              NaN  \n",
       "1382316                     N              NaN  \n",
       "1382375                     N              NaN  \n",
       "1382377                     N              NaN  \n",
       "\n",
       "[89176 rows x 93 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 指定列空值行显示\n",
    "data[data['借款人申请贷款时提供的职位*'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9af85ed5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1382351, 93)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 指定列空缺时，进行行删除\n",
    "data = data.dropna(subset=['当时该笔贷款的承诺总额。'])\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "14478804",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/sz/zqd18lbx6_n8hkplcd8krnr80000gn/T/ipykernel_811/2680831787.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data[data.columns[10]].fillna(value='0 year',inplace=True)\n",
      "/var/folders/sz/zqd18lbx6_n8hkplcd8krnr80000gn/T/ipykernel_811/2680831787.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data[data.columns[10]] = data[data.columns[10]].str.replace(' years','')#.astype('int32')\n",
      "/var/folders/sz/zqd18lbx6_n8hkplcd8krnr80000gn/T/ipykernel_811/2680831787.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data[data.columns[10]] = data[data.columns[10]].str.replace(' year','')\n",
      "/var/folders/sz/zqd18lbx6_n8hkplcd8krnr80000gn/T/ipykernel_811/2680831787.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data[data.columns[10]] = data[data.columns[10]].str.replace('< 1','0')\n",
      "/var/folders/sz/zqd18lbx6_n8hkplcd8krnr80000gn/T/ipykernel_811/2680831787.py:8: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  data[data.columns[10]] = data[data.columns[10]].str.replace('+','')\n",
      "/var/folders/sz/zqd18lbx6_n8hkplcd8krnr80000gn/T/ipykernel_811/2680831787.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data[data.columns[10]] = data[data.columns[10]].str.replace('+','')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "10    453281\n",
       "0     193205\n",
       "2     125246\n",
       "3     110684\n",
       "1      91130\n",
       "5      86452\n",
       "4      82975\n",
       "6      64377\n",
       "8      62043\n",
       "7      60927\n",
       "9      52031\n",
       "Name: 就业年限（年）。可能的值介于0和10之间，其中0表示少于一年，10表示十年或更长时间。, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 缺失值填充\n",
    "data[data.columns[10]].fillna(value='0 year',inplace=True)\n",
    "\n",
    "# 指定列类别内容转换(自行搜索使用更好的方法)\n",
    "data[data.columns[10]] = data[data.columns[10]].str.replace(' years','')#.astype('int32')\n",
    "data[data.columns[10]] = data[data.columns[10]].str.replace(' year','')\n",
    "data[data.columns[10]] = data[data.columns[10]].str.replace('< 1','0')\n",
    "data[data.columns[10]] = data[data.columns[10]].str.replace('+','')\n",
    "\n",
    "data[data.columns[10]].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a4ecb0ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>借款人在注册期间提供的自报年收入。</th>\n",
       "      <th>一种比率，使用借款人每月债务总额除以总债务债务（不包括抵押贷款和要求的信用证贷款），再除以借款人自报的月收入。</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>55000.0</td>\n",
       "      <td>5.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>65000.0</td>\n",
       "      <td>16.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>63000.0</td>\n",
       "      <td>10.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>104433.0</td>\n",
       "      <td>25.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>34000.0</td>\n",
       "      <td>10.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382377</th>\n",
       "      <td>130000.0</td>\n",
       "      <td>20.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382378</th>\n",
       "      <td>180792.0</td>\n",
       "      <td>22.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382379</th>\n",
       "      <td>157000.0</td>\n",
       "      <td>10.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382380</th>\n",
       "      <td>150000.0</td>\n",
       "      <td>12.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382381</th>\n",
       "      <td>110000.0</td>\n",
       "      <td>18.30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1382351 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         借款人在注册期间提供的自报年收入。  \\\n",
       "0                  55000.0   \n",
       "1                  65000.0   \n",
       "2                  63000.0   \n",
       "3                 104433.0   \n",
       "4                  34000.0   \n",
       "...                    ...   \n",
       "1382377           130000.0   \n",
       "1382378           180792.0   \n",
       "1382379           157000.0   \n",
       "1382380           150000.0   \n",
       "1382381           110000.0   \n",
       "\n",
       "         一种比率，使用借款人每月债务总额除以总债务债务（不包括抵押贷款和要求的信用证贷款），再除以借款人自报的月收入。  \n",
       "0                                                     5.91        \n",
       "1                                                    16.06        \n",
       "2                                                    10.78        \n",
       "3                                                    25.37        \n",
       "4                                                    10.20        \n",
       "...                                                    ...        \n",
       "1382377                                              20.59        \n",
       "1382378                                              22.03        \n",
       "1382379                                              10.34        \n",
       "1382380                                              12.25        \n",
       "1382381                                              18.30        \n",
       "\n",
       "[1382351 rows x 2 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[[data.columns[12],data.columns[22]]].fillna(value=0)#,inplace=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fe86f7a6",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          Aug-2003\n",
       "1          Dec-1999\n",
       "2          Aug-2000\n",
       "3          Jun-1998\n",
       "4          Oct-1987\n",
       "             ...   \n",
       "1382377    Jul-2004\n",
       "1382378    Mar-2002\n",
       "1382379    Jun-2011\n",
       "1382380    Aug-1997\n",
       "1382381    Jul-1999\n",
       "Name: 借款人最早报告的信贷额度开通的月份, Length: 1382351, dtype: object"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data.columns[24]].fillna(value=data.columns[14])#,inplace=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4c5be46c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1382321, 93)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data.dropna(subset=[data.columns[27]])\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f001edc",
   "metadata": {},
   "source": [
    "## 特征筛选\n",
    "\n",
    "删除或保留的每个特征请进行相关说明，以下仅为代码示例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e7931d05",
   "metadata": {},
   "outputs": [],
   "source": [
    "index = [0,2,3,7,13,16,17,19,20,21,22,24,25,26,27,30,31,32,33,34,35,36,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55]+[i for i in range(57,92)]\n",
    "\n",
    "drop_cols = []\n",
    "for i in index:\n",
    "    drop_cols.append(data.columns[i])\n",
    "    #print(data.columns[i])\n",
    "data_del = data.drop(labels=drop_cols,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ff1d0837",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1382321, 18)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_del.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b990295a",
   "metadata": {},
   "source": [
    "例如删除2/3列的原因是因为数据大致与列1一致\n",
    "\n",
    "使用pandas.corr()更适合\n",
    "\n",
    "建议用Heatmap清晰显示相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "21ab9275",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>贷款清单的唯一LC分配ID。</th>\n",
       "      <th>借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。</th>\n",
       "      <th>当时该笔贷款的承诺总额。</th>\n",
       "      <th>当时投资者承诺的贷款总额。</th>\n",
       "      <th>贷款的付款次数。值以月为单位，可以是36或60。</th>\n",
       "      <th>贷款利率</th>\n",
       "      <th>如果贷款来源，借款人应每月支付的款项。</th>\n",
       "      <th>LC指定贷款等级</th>\n",
       "      <th>LC指定贷款路基</th>\n",
       "      <th>借款人申请贷款时提供的职位*</th>\n",
       "      <th>就业年限（年）。可能的值介于0和10之间，其中0表示少于一年，10表示十年或更长时间。</th>\n",
       "      <th>借款人在登记期间提供的或从信用报告中获得的房屋所有权状态。我们的价值观是：出租、自有、抵押、其他</th>\n",
       "      <th>借款人在注册期间提供的自报年收入。</th>\n",
       "      <th>指示收入是否由信用证核实、未核实或收入来源是否已核实</th>\n",
       "      <th>贷款资助月份</th>\n",
       "      <th>贷款的当前状态</th>\n",
       "      <th>指示是否已为贷款制定付款计划</th>\n",
       "      <th>带有列表数据的LC页面的URL。</th>\n",
       "      <th>借款人为贷款申请提供的类别。</th>\n",
       "      <th>借款人提供的贷款名称</th>\n",
       "      <th>借款人在贷款申请中提供的邮政编码的前3个数字。</th>\n",
       "      <th>借款人在贷款申请中提供的状态</th>\n",
       "      <th>一种比率，使用借款人每月债务总额除以总债务债务（不包括抵押贷款和要求的信用证贷款），再除以借款人自报的月收入。</th>\n",
       "      <th>过去2年借款人信用档案中逾期30天以上的拖欠事件</th>\n",
       "      <th>借款人最早报告的信贷额度开通的月份</th>\n",
       "      <th>借款人在贷款发放时的FICO属于下限范围。</th>\n",
       "      <th>借款人在贷款发放时的FICO属于上限范围。</th>\n",
       "      <th>过去6个月的查询数量（不包括汽车和抵押贷款查询）</th>\n",
       "      <th>借款人信用文件中未结信用额度的数量。</th>\n",
       "      <th>贬损公共记录的数量</th>\n",
       "      <th>信贷循环余额合计</th>\n",
       "      <th>循环额度使用率，或借款人使用的信贷金额相对于所有可用循环信贷。</th>\n",
       "      <th>借款人信贷文件中当前的信贷额度总数</th>\n",
       "      <th>贷款的初始上市状态。可能的值为–W、F</th>\n",
       "      <th>供资总额的剩余未偿本金</th>\n",
       "      <th>投资者出资总额部分的剩余未偿本金</th>\n",
       "      <th>迄今收到的资金总额付款</th>\n",
       "      <th>迄今为止收到的投资者出资总额部分付款</th>\n",
       "      <th>迄今收到的本金</th>\n",
       "      <th>迄今收到的利息</th>\n",
       "      <th>迄今收到的滞纳金</th>\n",
       "      <th>注销后总回收率</th>\n",
       "      <th>注销后收款费</th>\n",
       "      <th>上月收到付款</th>\n",
       "      <th>上次收到的付款总额</th>\n",
       "      <th>最近一个月信用证收回了这笔贷款的信贷</th>\n",
       "      <th>借款人最后一次提取的FICO属于上限范围。</th>\n",
       "      <th>借款人最后一次提取的FICO属于下限范围。</th>\n",
       "      <th>12个月内的收集数量，不包括医疗收集</th>\n",
       "      <th>“公开可用的policy_code=1\\n未公开的新产品policy_code=2“</th>\n",
       "      <th>指示贷款是单独申请还是与两个共同借款人联合申请</th>\n",
       "      <th>借款人现在拖欠的账户数量。</th>\n",
       "      <th>曾经拖欠的收款总额</th>\n",
       "      <th>所有账户的总当前余额</th>\n",
       "      <th>总循环高信贷/信贷限额</th>\n",
       "      <th>过去24个月内开通的交易数量。</th>\n",
       "      <th>所有账户的平均活期余额</th>\n",
       "      <th>在循环银行卡上完全开放购买。</th>\n",
       "      <th>所有银行卡账户的总当前余额与高信用/信用限额的比率。</th>\n",
       "      <th>12个月内注销次数</th>\n",
       "      <th>借款人现在拖欠的账户的逾期欠款。</th>\n",
       "      <th>最早的银行分期付款账户开立后的月数</th>\n",
       "      <th>最旧循环账户开立后的月数</th>\n",
       "      <th>最近一个循环账户开立后的月数</th>\n",
       "      <th>自最近一次开户以来的月数</th>\n",
       "      <th>抵押账户数量。</th>\n",
       "      <th>最近一个银行卡账户开立后的几个月。</th>\n",
       "      <th>逾期120天或以上的账户数</th>\n",
       "      <th>当前活动的银行卡帐户数</th>\n",
       "      <th>当前活跃的循环交易数量</th>\n",
       "      <th>令人满意的银行卡账户数量</th>\n",
       "      <th>银行卡账户数</th>\n",
       "      <th>分期付款账户数</th>\n",
       "      <th>未结循环账户数</th>\n",
       "      <th>循环账户数量</th>\n",
       "      <th>余额&gt;0的循环交易数</th>\n",
       "      <th>满意账户数</th>\n",
       "      <th>当前逾期120天的账户数（在过去2个月内更新）</th>\n",
       "      <th>当前逾期30天的账户数（在过去2个月内更新）</th>\n",
       "      <th>过去24个月内逾期90天或以上的账户数</th>\n",
       "      <th>过去12个月开立的账户数</th>\n",
       "      <th>从未拖欠的交易百分比</th>\n",
       "      <th>所有银行卡账户的百分比&gt;限额的75%。</th>\n",
       "      <th>公共记录破产数</th>\n",
       "      <th>税收留置权数量</th>\n",
       "      <th>总高信贷/信贷限额</th>\n",
       "      <th>不包括抵押贷款的总信贷余额</th>\n",
       "      <th>银行卡高信用/信用限额合计</th>\n",
       "      <th>分期付款总额高信贷/信贷限额</th>\n",
       "      <th>标记借款人是否处于困难计划中</th>\n",
       "      <th>借款人获得贷款的方法。可能的值有：CASH、DIRECT_PAY</th>\n",
       "      <th>标记已注销的借款人是否与债务结算公司合作。</th>\n",
       "      <th>loan_status_new</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1311</th>\n",
       "      <td>68576308</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>29950.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>23.13</td>\n",
       "      <td>847.96</td>\n",
       "      <td>F</td>\n",
       "      <td>F2</td>\n",
       "      <td>Mechancial Component Engineer II</td>\n",
       "      <td>8</td>\n",
       "      <td>RENT</td>\n",
       "      <td>87000.0</td>\n",
       "      <td>Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>600xx</td>\n",
       "      <td>IL</td>\n",
       "      <td>15.92</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jul-1988</td>\n",
       "      <td>660.0</td>\n",
       "      <td>664.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16146.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40462.341533</td>\n",
       "      <td>40394.90</td>\n",
       "      <td>30000.00</td>\n",
       "      <td>10462.34</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>Sep-2017</td>\n",
       "      <td>24447.48</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>684.0</td>\n",
       "      <td>680.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41119.0</td>\n",
       "      <td>24600.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3738.0</td>\n",
       "      <td>8400.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>329.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52322.0</td>\n",
       "      <td>41119.0</td>\n",
       "      <td>16800.0</td>\n",
       "      <td>27722.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1596</th>\n",
       "      <td>68425475</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>14925.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.99</td>\n",
       "      <td>498.15</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>Document drawer</td>\n",
       "      <td>0</td>\n",
       "      <td>RENT</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>926xx</td>\n",
       "      <td>CA</td>\n",
       "      <td>29.77</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Nov-2002</td>\n",
       "      <td>680.0</td>\n",
       "      <td>684.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15956.0</td>\n",
       "      <td>68.5</td>\n",
       "      <td>20.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17833.507947</td>\n",
       "      <td>17744.34</td>\n",
       "      <td>15000.00</td>\n",
       "      <td>2833.51</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>Jan-2019</td>\n",
       "      <td>0.03</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>684.0</td>\n",
       "      <td>680.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24039.0</td>\n",
       "      <td>23300.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3005.0</td>\n",
       "      <td>5622.0</td>\n",
       "      <td>73.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32118.0</td>\n",
       "      <td>24039.0</td>\n",
       "      <td>21500.0</td>\n",
       "      <td>8818.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1621</th>\n",
       "      <td>66550774</td>\n",
       "      <td>8400.0</td>\n",
       "      <td>8400.0</td>\n",
       "      <td>8375.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.99</td>\n",
       "      <td>278.97</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>Inside Sales/Quotations</td>\n",
       "      <td>3</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>62500.0</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>other</td>\n",
       "      <td>Other</td>\n",
       "      <td>431xx</td>\n",
       "      <td>OH</td>\n",
       "      <td>37.08</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Nov-1989</td>\n",
       "      <td>670.0</td>\n",
       "      <td>674.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15257.0</td>\n",
       "      <td>84.3</td>\n",
       "      <td>31.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10035.255898</td>\n",
       "      <td>10005.39</td>\n",
       "      <td>8400.00</td>\n",
       "      <td>1635.26</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>Jan-2019</td>\n",
       "      <td>280.65</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>689.0</td>\n",
       "      <td>685.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>274891.0</td>\n",
       "      <td>18100.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>22908.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>81.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>313.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>91.7</td>\n",
       "      <td>75.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>297378.0</td>\n",
       "      <td>50149.0</td>\n",
       "      <td>10800.0</td>\n",
       "      <td>53870.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1731</th>\n",
       "      <td>67287822</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>14950.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>17.27</td>\n",
       "      <td>536.81</td>\n",
       "      <td>D</td>\n",
       "      <td>D3</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>3</td>\n",
       "      <td>RENT</td>\n",
       "      <td>55000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>028xx</td>\n",
       "      <td>RI</td>\n",
       "      <td>25.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jul-2008</td>\n",
       "      <td>670.0</td>\n",
       "      <td>674.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16598.0</td>\n",
       "      <td>83.8</td>\n",
       "      <td>29.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19404.916226</td>\n",
       "      <td>19340.23</td>\n",
       "      <td>15000.00</td>\n",
       "      <td>4404.92</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>Feb-2019</td>\n",
       "      <td>7.81</td>\n",
       "      <td>Jul-2018</td>\n",
       "      <td>649.0</td>\n",
       "      <td>645.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>163210.0</td>\n",
       "      <td>19800.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7772.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>98.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>154538.0</td>\n",
       "      <td>163210.0</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>134738.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2301</th>\n",
       "      <td>68414926</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>26975.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>18.99</td>\n",
       "      <td>989.58</td>\n",
       "      <td>E</td>\n",
       "      <td>E1</td>\n",
       "      <td>Sr Planner</td>\n",
       "      <td>2</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>60000.0</td>\n",
       "      <td>Verified</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>badloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>917xx</td>\n",
       "      <td>CA</td>\n",
       "      <td>21.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>May-1988</td>\n",
       "      <td>675.0</td>\n",
       "      <td>679.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>18131.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>w</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27710.920000</td>\n",
       "      <td>27685.26</td>\n",
       "      <td>18759.61</td>\n",
       "      <td>7790.21</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1161.1</td>\n",
       "      <td>208.998</td>\n",
       "      <td>Mar-2018</td>\n",
       "      <td>989.58</td>\n",
       "      <td>Oct-2018</td>\n",
       "      <td>529.0</td>\n",
       "      <td>525.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42346.0</td>\n",
       "      <td>23100.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5293.0</td>\n",
       "      <td>3400.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>327.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49081.0</td>\n",
       "      <td>42346.0</td>\n",
       "      <td>10200.0</td>\n",
       "      <td>25981.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382270</th>\n",
       "      <td>90402629</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>29750.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>15.59</td>\n",
       "      <td>1048.65</td>\n",
       "      <td>C</td>\n",
       "      <td>C5</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>2</td>\n",
       "      <td>RENT</td>\n",
       "      <td>83000.0</td>\n",
       "      <td>Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>badloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>088xx</td>\n",
       "      <td>NJ</td>\n",
       "      <td>14.44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mar-2001</td>\n",
       "      <td>675.0</td>\n",
       "      <td>679.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>31378.0</td>\n",
       "      <td>82.4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17865.000000</td>\n",
       "      <td>17716.13</td>\n",
       "      <td>10834.95</td>\n",
       "      <td>4996.05</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2034.0</td>\n",
       "      <td>366.120</td>\n",
       "      <td>Jan-2018</td>\n",
       "      <td>1048.65</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>519.0</td>\n",
       "      <td>515.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49958.0</td>\n",
       "      <td>38100.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6245.0</td>\n",
       "      <td>6722.0</td>\n",
       "      <td>82.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>186.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66344.0</td>\n",
       "      <td>49958.0</td>\n",
       "      <td>38100.0</td>\n",
       "      <td>28244.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382295</th>\n",
       "      <td>90249713</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>39900.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>15.59</td>\n",
       "      <td>964.03</td>\n",
       "      <td>C</td>\n",
       "      <td>C5</td>\n",
       "      <td>Sales</td>\n",
       "      <td>0</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>168000.0</td>\n",
       "      <td>Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>other</td>\n",
       "      <td>Other</td>\n",
       "      <td>380xx</td>\n",
       "      <td>TN</td>\n",
       "      <td>13.11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mar-2002</td>\n",
       "      <td>710.0</td>\n",
       "      <td>714.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50802.0</td>\n",
       "      <td>48.5</td>\n",
       "      <td>44.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52072.409498</td>\n",
       "      <td>51942.23</td>\n",
       "      <td>40000.00</td>\n",
       "      <td>12072.41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>Feb-2019</td>\n",
       "      <td>26038.24</td>\n",
       "      <td>Feb-2019</td>\n",
       "      <td>739.0</td>\n",
       "      <td>735.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>341412.0</td>\n",
       "      <td>104800.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>21338.0</td>\n",
       "      <td>26788.0</td>\n",
       "      <td>46.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>97.7</td>\n",
       "      <td>37.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>435977.0</td>\n",
       "      <td>88886.0</td>\n",
       "      <td>50300.0</td>\n",
       "      <td>55384.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382299</th>\n",
       "      <td>90076386</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>21750.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>15.59</td>\n",
       "      <td>769.01</td>\n",
       "      <td>C</td>\n",
       "      <td>C5</td>\n",
       "      <td>Investor Relations</td>\n",
       "      <td>2</td>\n",
       "      <td>RENT</td>\n",
       "      <td>80000.0</td>\n",
       "      <td>Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>Credit card refinancing</td>\n",
       "      <td>073xx</td>\n",
       "      <td>NJ</td>\n",
       "      <td>14.51</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Aug-2007</td>\n",
       "      <td>660.0</td>\n",
       "      <td>664.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20651.0</td>\n",
       "      <td>58.8</td>\n",
       "      <td>35.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25815.957069</td>\n",
       "      <td>25522.59</td>\n",
       "      <td>22000.00</td>\n",
       "      <td>3815.96</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>Feb-2018</td>\n",
       "      <td>13297.01</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>734.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>54518.0</td>\n",
       "      <td>35100.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2596.0</td>\n",
       "      <td>3084.0</td>\n",
       "      <td>82.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>97.1</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66100.0</td>\n",
       "      <td>54518.0</td>\n",
       "      <td>17500.0</td>\n",
       "      <td>31000.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382344</th>\n",
       "      <td>90053125</td>\n",
       "      <td>27950.0</td>\n",
       "      <td>27950.0</td>\n",
       "      <td>27925.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>13.99</td>\n",
       "      <td>650.21</td>\n",
       "      <td>C</td>\n",
       "      <td>C3</td>\n",
       "      <td>sales manager</td>\n",
       "      <td>10</td>\n",
       "      <td>RENT</td>\n",
       "      <td>71000.0</td>\n",
       "      <td>Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>633xx</td>\n",
       "      <td>MO</td>\n",
       "      <td>15.70</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jun-2004</td>\n",
       "      <td>690.0</td>\n",
       "      <td>694.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30396.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33933.710078</td>\n",
       "      <td>33903.36</td>\n",
       "      <td>27950.00</td>\n",
       "      <td>5983.71</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>Jun-2018</td>\n",
       "      <td>21494.46</td>\n",
       "      <td>Jul-2018</td>\n",
       "      <td>739.0</td>\n",
       "      <td>735.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>812.0</td>\n",
       "      <td>357719.0</td>\n",
       "      <td>42800.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51103.0</td>\n",
       "      <td>10512.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>33.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>402391.0</td>\n",
       "      <td>40723.0</td>\n",
       "      <td>40500.0</td>\n",
       "      <td>15582.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382373</th>\n",
       "      <td>89024450</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>39975.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>15.59</td>\n",
       "      <td>964.03</td>\n",
       "      <td>C</td>\n",
       "      <td>C5</td>\n",
       "      <td>Sr. Project Manager</td>\n",
       "      <td>0</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>220000.0</td>\n",
       "      <td>Verified</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>n</td>\n",
       "      <td>https://lendingclub.com/browse/loanDetail.acti...</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Debt consolidation</td>\n",
       "      <td>114xx</td>\n",
       "      <td>NY</td>\n",
       "      <td>10.88</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Feb-2004</td>\n",
       "      <td>715.0</td>\n",
       "      <td>719.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43437.0</td>\n",
       "      <td>13.3</td>\n",
       "      <td>45.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42089.416411</td>\n",
       "      <td>42063.11</td>\n",
       "      <td>40000.00</td>\n",
       "      <td>2089.42</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>Feb-2017</td>\n",
       "      <td>39283.94</td>\n",
       "      <td>Mar-2019</td>\n",
       "      <td>779.0</td>\n",
       "      <td>775.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Individual</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>394526.0</td>\n",
       "      <td>185700.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>20765.0</td>\n",
       "      <td>107774.0</td>\n",
       "      <td>8.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>558214.0</td>\n",
       "      <td>73480.0</td>\n",
       "      <td>141000.0</td>\n",
       "      <td>35551.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Cash</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>118308 rows × 93 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        贷款清单的唯一LC分配ID。  借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。  \\\n",
       "1311          68576308                                      30000.0   \n",
       "1596          68425475                                      15000.0   \n",
       "1621          66550774                                       8400.0   \n",
       "1731          67287822                                      15000.0   \n",
       "2301          68414926                                      27000.0   \n",
       "...                ...                                          ...   \n",
       "1382270       90402629                                      30000.0   \n",
       "1382295       90249713                                      40000.0   \n",
       "1382299       90076386                                      22000.0   \n",
       "1382344       90053125                                      27950.0   \n",
       "1382373       89024450                                      40000.0   \n",
       "\n",
       "         当时该笔贷款的承诺总额。  当时投资者承诺的贷款总额。 贷款的付款次数。值以月为单位，可以是36或60。   贷款利率  \\\n",
       "1311          30000.0        29950.0                60 months  23.13   \n",
       "1596          15000.0        14925.0                36 months  11.99   \n",
       "1621           8400.0         8375.0                36 months  11.99   \n",
       "1731          15000.0        14950.0                36 months  17.27   \n",
       "2301          27000.0        26975.0                36 months  18.99   \n",
       "...               ...            ...                      ...    ...   \n",
       "1382270       30000.0        29750.0                36 months  15.59   \n",
       "1382295       40000.0        39900.0                60 months  15.59   \n",
       "1382299       22000.0        21750.0                36 months  15.59   \n",
       "1382344       27950.0        27925.0                60 months  13.99   \n",
       "1382373       40000.0        39975.0                60 months  15.59   \n",
       "\n",
       "         如果贷款来源，借款人应每月支付的款项。 LC指定贷款等级 LC指定贷款路基  \\\n",
       "1311                  847.96        F       F2   \n",
       "1596                  498.15        C       C1   \n",
       "1621                  278.97        C       C1   \n",
       "1731                  536.81        D       D3   \n",
       "2301                  989.58        E       E1   \n",
       "...                      ...      ...      ...   \n",
       "1382270              1048.65        C       C5   \n",
       "1382295               964.03        C       C5   \n",
       "1382299               769.01        C       C5   \n",
       "1382344               650.21        C       C3   \n",
       "1382373               964.03        C       C5   \n",
       "\n",
       "                           借款人申请贷款时提供的职位*  \\\n",
       "1311     Mechancial Component Engineer II   \n",
       "1596                     Document drawer    \n",
       "1621              Inside Sales/Quotations   \n",
       "1731                              Teacher   \n",
       "2301                           Sr Planner   \n",
       "...                                   ...   \n",
       "1382270                          Engineer   \n",
       "1382295                             Sales   \n",
       "1382299               Investor Relations    \n",
       "1382344                     sales manager   \n",
       "1382373               Sr. Project Manager   \n",
       "\n",
       "        就业年限（年）。可能的值介于0和10之间，其中0表示少于一年，10表示十年或更长时间。  \\\n",
       "1311                                              8   \n",
       "1596                                              0   \n",
       "1621                                              3   \n",
       "1731                                              3   \n",
       "2301                                              2   \n",
       "...                                             ...   \n",
       "1382270                                           2   \n",
       "1382295                                           0   \n",
       "1382299                                           2   \n",
       "1382344                                          10   \n",
       "1382373                                           0   \n",
       "\n",
       "        借款人在登记期间提供的或从信用报告中获得的房屋所有权状态。我们的价值观是：出租、自有、抵押、其他  借款人在注册期间提供的自报年收入。  \\\n",
       "1311                                                RENT            87000.0   \n",
       "1596                                                RENT            40000.0   \n",
       "1621                                            MORTGAGE            62500.0   \n",
       "1731                                                RENT            55000.0   \n",
       "2301                                            MORTGAGE            60000.0   \n",
       "...                                                  ...                ...   \n",
       "1382270                                             RENT            83000.0   \n",
       "1382295                                         MORTGAGE           168000.0   \n",
       "1382299                                             RENT            80000.0   \n",
       "1382344                                             RENT            71000.0   \n",
       "1382373                                         MORTGAGE           220000.0   \n",
       "\n",
       "        指示收入是否由信用证核实、未核实或收入来源是否已核实    贷款资助月份    贷款的当前状态 指示是否已为贷款制定付款计划  \\\n",
       "1311                      Verified  Dec-2015  goodloans              n   \n",
       "1596                      Verified  Dec-2015  goodloans              n   \n",
       "1621               Source Verified  Dec-2015  goodloans              n   \n",
       "1731                  Not Verified  Dec-2015  goodloans              n   \n",
       "2301                      Verified  Dec-2015   badloans              n   \n",
       "...                            ...       ...        ...            ...   \n",
       "1382270                   Verified  Oct-2016   badloans              n   \n",
       "1382295                   Verified  Oct-2016  goodloans              n   \n",
       "1382299                   Verified  Oct-2016  goodloans              n   \n",
       "1382344                   Verified  Oct-2016  goodloans              n   \n",
       "1382373                   Verified  Oct-2016  goodloans              n   \n",
       "\n",
       "                                          带有列表数据的LC页面的URL。  \\\n",
       "1311     https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1596     https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1621     https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1731     https://lendingclub.com/browse/loanDetail.acti...   \n",
       "2301     https://lendingclub.com/browse/loanDetail.acti...   \n",
       "...                                                    ...   \n",
       "1382270  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382295  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382299  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382344  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "1382373  https://lendingclub.com/browse/loanDetail.acti...   \n",
       "\n",
       "             借款人为贷款申请提供的类别。               借款人提供的贷款名称 借款人在贷款申请中提供的邮政编码的前3个数字。  \\\n",
       "1311     debt_consolidation       Debt consolidation                   600xx   \n",
       "1596     debt_consolidation       Debt consolidation                   926xx   \n",
       "1621                  other                    Other                   431xx   \n",
       "1731     debt_consolidation       Debt consolidation                   028xx   \n",
       "2301     debt_consolidation       Debt consolidation                   917xx   \n",
       "...                     ...                      ...                     ...   \n",
       "1382270  debt_consolidation       Debt consolidation                   088xx   \n",
       "1382295               other                    Other                   380xx   \n",
       "1382299         credit_card  Credit card refinancing                   073xx   \n",
       "1382344  debt_consolidation       Debt consolidation                   633xx   \n",
       "1382373  debt_consolidation       Debt consolidation                   114xx   \n",
       "\n",
       "        借款人在贷款申请中提供的状态  \\\n",
       "1311                IL   \n",
       "1596                CA   \n",
       "1621                OH   \n",
       "1731                RI   \n",
       "2301                CA   \n",
       "...                ...   \n",
       "1382270             NJ   \n",
       "1382295             TN   \n",
       "1382299             NJ   \n",
       "1382344             MO   \n",
       "1382373             NY   \n",
       "\n",
       "         一种比率，使用借款人每月债务总额除以总债务债务（不包括抵押贷款和要求的信用证贷款），再除以借款人自报的月收入。  \\\n",
       "1311                                                 15.92         \n",
       "1596                                                 29.77         \n",
       "1621                                                 37.08         \n",
       "1731                                                 25.81         \n",
       "2301                                                 21.40         \n",
       "...                                                    ...         \n",
       "1382270                                              14.44         \n",
       "1382295                                              13.11         \n",
       "1382299                                              14.51         \n",
       "1382344                                              15.70         \n",
       "1382373                                              10.88         \n",
       "\n",
       "         过去2年借款人信用档案中逾期30天以上的拖欠事件 借款人最早报告的信贷额度开通的月份  借款人在贷款发放时的FICO属于下限范围。  \\\n",
       "1311                          0.0          Jul-1988                  660.0   \n",
       "1596                          0.0          Nov-2002                  680.0   \n",
       "1621                          0.0          Nov-1989                  670.0   \n",
       "1731                          0.0          Jul-2008                  670.0   \n",
       "2301                          0.0          May-1988                  675.0   \n",
       "...                           ...               ...                    ...   \n",
       "1382270                       0.0          Mar-2001                  675.0   \n",
       "1382295                       0.0          Mar-2002                  710.0   \n",
       "1382299                       0.0          Aug-2007                  660.0   \n",
       "1382344                       0.0          Jun-2004                  690.0   \n",
       "1382373                       0.0          Feb-2004                  715.0   \n",
       "\n",
       "         借款人在贷款发放时的FICO属于上限范围。  过去6个月的查询数量（不包括汽车和抵押贷款查询）  借款人信用文件中未结信用额度的数量。  \\\n",
       "1311                     664.0                       3.0                12.0   \n",
       "1596                     684.0                       1.0                 8.0   \n",
       "1621                     674.0                       1.0                14.0   \n",
       "1731                     674.0                       0.0                21.0   \n",
       "2301                     679.0                       2.0                 8.0   \n",
       "...                        ...                       ...                 ...   \n",
       "1382270                  679.0                       0.0                 8.0   \n",
       "1382295                  714.0                       1.0                17.0   \n",
       "1382299                  664.0                       0.0                21.0   \n",
       "1382344                  694.0                       0.0                 7.0   \n",
       "1382373                  719.0                       2.0                19.0   \n",
       "\n",
       "         贬损公共记录的数量  信贷循环余额合计  循环额度使用率，或借款人使用的信贷金额相对于所有可用循环信贷。  \\\n",
       "1311           1.0   16146.0                             66.0   \n",
       "1596           0.0   15956.0                             68.5   \n",
       "1621           4.0   15257.0                             84.3   \n",
       "1731           0.0   16598.0                             83.8   \n",
       "2301           1.0   18131.0                             78.0   \n",
       "...            ...       ...                              ...   \n",
       "1382270        0.0   31378.0                             82.4   \n",
       "1382295        0.0   50802.0                             48.5   \n",
       "1382299        0.0   20651.0                             58.8   \n",
       "1382344        0.0   30396.0                             71.0   \n",
       "1382373        0.0   43437.0                             13.3   \n",
       "\n",
       "         借款人信贷文件中当前的信贷额度总数 贷款的初始上市状态。可能的值为–W、F  供资总额的剩余未偿本金  投资者出资总额部分的剩余未偿本金  \\\n",
       "1311                  46.0                   w          0.0               0.0   \n",
       "1596                  20.0                   f          0.0               0.0   \n",
       "1621                  31.0                   w          0.0               0.0   \n",
       "1731                  29.0                   w          0.0               0.0   \n",
       "2301                  14.0                   w          0.0               0.0   \n",
       "...                    ...                 ...          ...               ...   \n",
       "1382270                9.0                   f          0.0               0.0   \n",
       "1382295               44.0                   f          0.0               0.0   \n",
       "1382299               35.0                   f          0.0               0.0   \n",
       "1382344               27.0                   f          0.0               0.0   \n",
       "1382373               45.0                   f          0.0               0.0   \n",
       "\n",
       "          迄今收到的资金总额付款  迄今为止收到的投资者出资总额部分付款   迄今收到的本金   迄今收到的利息  迄今收到的滞纳金  \\\n",
       "1311     40462.341533            40394.90  30000.00  10462.34       0.0   \n",
       "1596     17833.507947            17744.34  15000.00   2833.51       0.0   \n",
       "1621     10035.255898            10005.39   8400.00   1635.26       0.0   \n",
       "1731     19404.916226            19340.23  15000.00   4404.92       0.0   \n",
       "2301     27710.920000            27685.26  18759.61   7790.21       0.0   \n",
       "...               ...                 ...       ...       ...       ...   \n",
       "1382270  17865.000000            17716.13  10834.95   4996.05       0.0   \n",
       "1382295  52072.409498            51942.23  40000.00  12072.41       0.0   \n",
       "1382299  25815.957069            25522.59  22000.00   3815.96       0.0   \n",
       "1382344  33933.710078            33903.36  27950.00   5983.71       0.0   \n",
       "1382373  42089.416411            42063.11  40000.00   2089.42       0.0   \n",
       "\n",
       "         注销后总回收率   注销后收款费    上月收到付款  上次收到的付款总额 最近一个月信用证收回了这笔贷款的信贷  \\\n",
       "1311         0.0    0.000  Sep-2017   24447.48           Mar-2019   \n",
       "1596         0.0    0.000  Jan-2019       0.03           Mar-2019   \n",
       "1621         0.0    0.000  Jan-2019     280.65           Mar-2019   \n",
       "1731         0.0    0.000  Feb-2019       7.81           Jul-2018   \n",
       "2301      1161.1  208.998  Mar-2018     989.58           Oct-2018   \n",
       "...          ...      ...       ...        ...                ...   \n",
       "1382270   2034.0  366.120  Jan-2018    1048.65           Mar-2019   \n",
       "1382295      0.0    0.000  Feb-2019   26038.24           Feb-2019   \n",
       "1382299      0.0    0.000  Feb-2018   13297.01           Mar-2019   \n",
       "1382344      0.0    0.000  Jun-2018   21494.46           Jul-2018   \n",
       "1382373      0.0    0.000  Feb-2017   39283.94           Mar-2019   \n",
       "\n",
       "         借款人最后一次提取的FICO属于上限范围。  借款人最后一次提取的FICO属于下限范围。  12个月内的收集数量，不包括医疗收集  \\\n",
       "1311                     684.0                  680.0                 0.0   \n",
       "1596                     684.0                  680.0                 0.0   \n",
       "1621                     689.0                  685.0                 0.0   \n",
       "1731                     649.0                  645.0                 0.0   \n",
       "2301                     529.0                  525.0                 0.0   \n",
       "...                        ...                    ...                 ...   \n",
       "1382270                  519.0                  515.0                 0.0   \n",
       "1382295                  739.0                  735.0                 0.0   \n",
       "1382299                  734.0                  730.0                 0.0   \n",
       "1382344                  739.0                  735.0                 0.0   \n",
       "1382373                  779.0                  775.0                 0.0   \n",
       "\n",
       "         “公开可用的policy_code=1\\n未公开的新产品policy_code=2“ 指示贷款是单独申请还是与两个共同借款人联合申请  \\\n",
       "1311                                            1.0              Individual   \n",
       "1596                                            1.0              Individual   \n",
       "1621                                            1.0              Individual   \n",
       "1731                                            1.0              Individual   \n",
       "2301                                            1.0              Individual   \n",
       "...                                             ...                     ...   \n",
       "1382270                                         1.0              Individual   \n",
       "1382295                                         1.0              Individual   \n",
       "1382299                                         1.0              Individual   \n",
       "1382344                                         1.0              Individual   \n",
       "1382373                                         1.0              Individual   \n",
       "\n",
       "         借款人现在拖欠的账户数量。  曾经拖欠的收款总额  所有账户的总当前余额  总循环高信贷/信贷限额  过去24个月内开通的交易数量。  \\\n",
       "1311               0.0        0.0     41119.0      24600.0             10.0   \n",
       "1596               0.0        0.0     24039.0      23300.0              2.0   \n",
       "1621               0.0        0.0    274891.0      18100.0              8.0   \n",
       "1731               0.0        0.0    163210.0      19800.0             10.0   \n",
       "2301               0.0        0.0     42346.0      23100.0              6.0   \n",
       "...                ...        ...         ...          ...              ...   \n",
       "1382270            0.0        0.0     49958.0      38100.0              4.0   \n",
       "1382295            0.0        0.0    341412.0     104800.0              7.0   \n",
       "1382299            0.0      175.0     54518.0      35100.0              5.0   \n",
       "1382344            0.0      812.0    357719.0      42800.0              0.0   \n",
       "1382373            0.0        0.0    394526.0     185700.0              7.0   \n",
       "\n",
       "         所有账户的平均活期余额  在循环银行卡上完全开放购买。  所有银行卡账户的总当前余额与高信用/信用限额的比率。  12个月内注销次数  \\\n",
       "1311          3738.0          8400.0                        86.0        0.0   \n",
       "1596          3005.0          5622.0                        73.9        0.0   \n",
       "1621         22908.0          1999.0                        81.5        0.0   \n",
       "1731          7772.0           205.0                        98.1        0.0   \n",
       "2301          5293.0          3400.0                        99.0        0.0   \n",
       "...              ...             ...                         ...        ...   \n",
       "1382270       6245.0          6722.0                        82.4        0.0   \n",
       "1382295      21338.0         26788.0                        46.7        0.0   \n",
       "1382299       2596.0          3084.0                        82.4        0.0   \n",
       "1382344      51103.0         10512.0                        74.0        0.0   \n",
       "1382373      20765.0        107774.0                         8.9        0.0   \n",
       "\n",
       "         借款人现在拖欠的账户的逾期欠款。  最早的银行分期付款账户开立后的月数  最旧循环账户开立后的月数  最近一个循环账户开立后的月数  \\\n",
       "1311                  0.0              129.0         329.0             6.0   \n",
       "1596                  0.0               78.0         157.0             6.0   \n",
       "1621                  0.0              134.0         313.0             3.0   \n",
       "1731                  0.0               89.0          79.0            15.0   \n",
       "2301                  0.0                6.0         327.0             3.0   \n",
       "...                   ...                ...           ...             ...   \n",
       "1382270               0.0               32.0         186.0             2.0   \n",
       "1382295               0.0               67.0         174.0             4.0   \n",
       "1382299               0.0              109.0         104.0             4.0   \n",
       "1382344               0.0              144.0         147.0            43.0   \n",
       "1382373               0.0              104.0         151.0             2.0   \n",
       "\n",
       "         自最近一次开户以来的月数  抵押账户数量。  最近一个银行卡账户开立后的几个月。  逾期120天或以上的账户数  当前活动的银行卡帐户数  \\\n",
       "1311              1.0      4.0                6.0            0.0          2.0   \n",
       "1596              3.0      0.0               49.0            2.0          5.0   \n",
       "1621              3.0      5.0               42.0            1.0          4.0   \n",
       "1731              4.0      0.0               23.0            0.0          4.0   \n",
       "2301              3.0      0.0                3.0            0.0          3.0   \n",
       "...               ...      ...                ...            ...          ...   \n",
       "1382270           2.0      0.0                2.0            0.0          5.0   \n",
       "1382295           4.0      4.0                4.0            0.0          4.0   \n",
       "1382299           4.0      0.0                7.0            1.0          4.0   \n",
       "1382344          29.0      6.0               43.0            0.0          3.0   \n",
       "1382373           2.0      4.0               16.0            0.0          5.0   \n",
       "\n",
       "         当前活跃的循环交易数量  令人满意的银行卡账户数量  银行卡账户数  分期付款账户数  未结循环账户数  循环账户数量  \\\n",
       "1311             8.0           9.0    13.0      7.0      8.0    35.0   \n",
       "1596             6.0           6.0    13.0      2.0      7.0    17.0   \n",
       "1621             6.0           4.0     8.0     11.0      8.0    14.0   \n",
       "1731             8.0           4.0     4.0     20.0      9.0     9.0   \n",
       "2301             7.0           3.0     3.0      1.0      7.0    12.0   \n",
       "...              ...           ...     ...      ...      ...     ...   \n",
       "1382270          5.0           6.0     6.0      2.0      6.0     7.0   \n",
       "1382295          8.0           8.0    18.0      2.0     15.0    38.0   \n",
       "1382299         10.0           5.0     7.0     21.0     12.0    14.0   \n",
       "1382344          4.0           3.0     7.0      8.0      4.0    13.0   \n",
       "1382373          8.0           9.0    13.0     12.0     14.0    28.0   \n",
       "\n",
       "         余额>0的循环交易数  满意账户数  当前逾期120天的账户数（在过去2个月内更新）  当前逾期30天的账户数（在过去2个月内更新）  \\\n",
       "1311            4.0   11.0                      NaN                     0.0   \n",
       "1596            6.0    8.0                      0.0                     0.0   \n",
       "1621            6.0   14.0                      0.0                     0.0   \n",
       "1731            8.0   21.0                      0.0                     0.0   \n",
       "2301            6.0    8.0                      NaN                     0.0   \n",
       "...             ...    ...                      ...                     ...   \n",
       "1382270         5.0    8.0                      0.0                     0.0   \n",
       "1382295         8.0   17.0                      0.0                     0.0   \n",
       "1382299        10.0   21.0                      0.0                     0.0   \n",
       "1382344         4.0    7.0                      0.0                     0.0   \n",
       "1382373         8.0   19.0                      0.0                     0.0   \n",
       "\n",
       "         过去24个月内逾期90天或以上的账户数  过去12个月开立的账户数  从未拖欠的交易百分比  所有银行卡账户的百分比>限额的75%。  \\\n",
       "1311                     0.0           6.0        83.0                100.0   \n",
       "1596                     0.0           2.0        90.0                 50.0   \n",
       "1621                     0.0           2.0        91.7                 75.0   \n",
       "1731                     0.0           3.0       100.0                100.0   \n",
       "2301                     0.0           3.0       100.0                100.0   \n",
       "...                      ...           ...         ...                  ...   \n",
       "1382270                  0.0           3.0       100.0                 50.0   \n",
       "1382295                  0.0           3.0        97.7                 37.5   \n",
       "1382299                  0.0           4.0        97.1                 60.0   \n",
       "1382344                  0.0           0.0       100.0                 33.3   \n",
       "1382373                  0.0           3.0       100.0                  0.0   \n",
       "\n",
       "         公共记录破产数  税收留置权数量  总高信贷/信贷限额  不包括抵押贷款的总信贷余额  银行卡高信用/信用限额合计  \\\n",
       "1311         1.0      0.0    52322.0        41119.0        16800.0   \n",
       "1596         0.0      0.0    32118.0        24039.0        21500.0   \n",
       "1621         2.0      2.0   297378.0        50149.0        10800.0   \n",
       "1731         0.0      0.0   154538.0       163210.0        11000.0   \n",
       "2301         1.0      0.0    49081.0        42346.0        10200.0   \n",
       "...          ...      ...        ...            ...            ...   \n",
       "1382270      0.0      0.0    66344.0        49958.0        38100.0   \n",
       "1382295      0.0      0.0   435977.0        88886.0        50300.0   \n",
       "1382299      0.0      0.0    66100.0        54518.0        17500.0   \n",
       "1382344      0.0      0.0   402391.0        40723.0        40500.0   \n",
       "1382373      0.0      0.0   558214.0        73480.0       141000.0   \n",
       "\n",
       "         分期付款总额高信贷/信贷限额 标记借款人是否处于困难计划中 借款人获得贷款的方法。可能的值有：CASH、DIRECT_PAY  \\\n",
       "1311            27722.0              N                             Cash   \n",
       "1596             8818.0              N                             Cash   \n",
       "1621            53870.0              N                             Cash   \n",
       "1731           134738.0              N                             Cash   \n",
       "2301            25981.0              N                             Cash   \n",
       "...                 ...            ...                              ...   \n",
       "1382270         28244.0              N                             Cash   \n",
       "1382295         55384.0              N                             Cash   \n",
       "1382299         31000.0              N                             Cash   \n",
       "1382344         15582.0              N                             Cash   \n",
       "1382373         35551.0              N                             Cash   \n",
       "\n",
       "        标记已注销的借款人是否与债务结算公司合作。  loan_status_new  \n",
       "1311                        N              NaN  \n",
       "1596                        N              NaN  \n",
       "1621                        N              NaN  \n",
       "1731                        N              NaN  \n",
       "2301                        N              NaN  \n",
       "...                       ...              ...  \n",
       "1382270                     Y              NaN  \n",
       "1382295                     N              NaN  \n",
       "1382299                     N              NaN  \n",
       "1382344                     N              NaN  \n",
       "1382373                     N              NaN  \n",
       "\n",
       "[118308 rows x 93 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2和3列：8.53%不一致\n",
    "# 1和2列：0.149%不一致\n",
    "# 1和3列：8.56%不一致\n",
    "data.loc[lambda x:x['当时投资者承诺的贷款总额。']!=x['借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "6e76cd25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。</th>\n",
       "      <th>贷款的付款次数。值以月为单位，可以是36或60。</th>\n",
       "      <th>贷款利率</th>\n",
       "      <th>如果贷款来源，借款人应每月支付的款项。</th>\n",
       "      <th>LC指定贷款路基</th>\n",
       "      <th>借款人申请贷款时提供的职位*</th>\n",
       "      <th>就业年限（年）。可能的值介于0和10之间，其中0表示少于一年，10表示十年或更长时间。</th>\n",
       "      <th>借款人在登记期间提供的或从信用报告中获得的房屋所有权状态。我们的价值观是：出租、自有、抵押、其他</th>\n",
       "      <th>借款人在注册期间提供的自报年收入。</th>\n",
       "      <th>贷款资助月份</th>\n",
       "      <th>贷款的当前状态</th>\n",
       "      <th>借款人为贷款申请提供的类别。</th>\n",
       "      <th>过去2年借款人信用档案中逾期30天以上的拖欠事件</th>\n",
       "      <th>借款人信用文件中未结信用额度的数量。</th>\n",
       "      <th>贬损公共记录的数量</th>\n",
       "      <th>迄今为止收到的投资者出资总额部分付款</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3600.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>13.99</td>\n",
       "      <td>123.03</td>\n",
       "      <td>C4</td>\n",
       "      <td>leadman</td>\n",
       "      <td>10</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>55000.0</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4421.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>24700.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.99</td>\n",
       "      <td>820.28</td>\n",
       "      <td>C1</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>10</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>65000.0</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>small_business</td>\n",
       "      <td>1.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25679.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>10.78</td>\n",
       "      <td>432.66</td>\n",
       "      <td>B4</td>\n",
       "      <td>truck driver</td>\n",
       "      <td>10</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>63000.0</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>home_improvement</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22705.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10400.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>22.45</td>\n",
       "      <td>289.91</td>\n",
       "      <td>F1</td>\n",
       "      <td>Contract Specialist</td>\n",
       "      <td>3</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>104433.0</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>major_purchase</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11740.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11950.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>13.44</td>\n",
       "      <td>405.18</td>\n",
       "      <td>C3</td>\n",
       "      <td>Veterinary Tecnician</td>\n",
       "      <td>4</td>\n",
       "      <td>RENT</td>\n",
       "      <td>34000.0</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13708.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382377</th>\n",
       "      <td>18000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>9.49</td>\n",
       "      <td>377.95</td>\n",
       "      <td>B2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>OWN</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>home_improvement</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20756.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382378</th>\n",
       "      <td>29400.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>13.99</td>\n",
       "      <td>683.94</td>\n",
       "      <td>C3</td>\n",
       "      <td>Chief Operating Officer</td>\n",
       "      <td>9</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>180792.0</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35848.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382379</th>\n",
       "      <td>32000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>14.49</td>\n",
       "      <td>752.74</td>\n",
       "      <td>C4</td>\n",
       "      <td>Sales Manager</td>\n",
       "      <td>3</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>157000.0</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>badloans</td>\n",
       "      <td>home_improvement</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3737.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382380</th>\n",
       "      <td>16000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>12.79</td>\n",
       "      <td>362.34</td>\n",
       "      <td>C1</td>\n",
       "      <td>Manager</td>\n",
       "      <td>10</td>\n",
       "      <td>RENT</td>\n",
       "      <td>150000.0</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>medical</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>18660.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382381</th>\n",
       "      <td>24000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>14.49</td>\n",
       "      <td>564.56</td>\n",
       "      <td>C4</td>\n",
       "      <td>Program Manager</td>\n",
       "      <td>6</td>\n",
       "      <td>RENT</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>badloans</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6755.40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1382321 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。 贷款的付款次数。值以月为单位，可以是36或60。  \\\n",
       "0                                             3600.0                36 months   \n",
       "1                                            24700.0                36 months   \n",
       "2                                            20000.0                60 months   \n",
       "3                                            10400.0                60 months   \n",
       "4                                            11950.0                36 months   \n",
       "...                                              ...                      ...   \n",
       "1382377                                      18000.0                60 months   \n",
       "1382378                                      29400.0                60 months   \n",
       "1382379                                      32000.0                60 months   \n",
       "1382380                                      16000.0                60 months   \n",
       "1382381                                      24000.0                60 months   \n",
       "\n",
       "          贷款利率  如果贷款来源，借款人应每月支付的款项。 LC指定贷款路基           借款人申请贷款时提供的职位*  \\\n",
       "0        13.99               123.03       C4                  leadman   \n",
       "1        11.99               820.28       C1                 Engineer   \n",
       "2        10.78               432.66       B4             truck driver   \n",
       "3        22.45               289.91       F1      Contract Specialist   \n",
       "4        13.44               405.18       C3     Veterinary Tecnician   \n",
       "...        ...                  ...      ...                      ...   \n",
       "1382377   9.49               377.95       B2                      NaN   \n",
       "1382378  13.99               683.94       C3  Chief Operating Officer   \n",
       "1382379  14.49               752.74       C4            Sales Manager   \n",
       "1382380  12.79               362.34       C1                  Manager   \n",
       "1382381  14.49               564.56       C4          Program Manager   \n",
       "\n",
       "        就业年限（年）。可能的值介于0和10之间，其中0表示少于一年，10表示十年或更长时间。  \\\n",
       "0                                                10   \n",
       "1                                                10   \n",
       "2                                                10   \n",
       "3                                                 3   \n",
       "4                                                 4   \n",
       "...                                             ...   \n",
       "1382377                                           5   \n",
       "1382378                                           9   \n",
       "1382379                                           3   \n",
       "1382380                                          10   \n",
       "1382381                                           6   \n",
       "\n",
       "        借款人在登记期间提供的或从信用报告中获得的房屋所有权状态。我们的价值观是：出租、自有、抵押、其他  借款人在注册期间提供的自报年收入。  \\\n",
       "0                                               MORTGAGE            55000.0   \n",
       "1                                               MORTGAGE            65000.0   \n",
       "2                                               MORTGAGE            63000.0   \n",
       "3                                               MORTGAGE           104433.0   \n",
       "4                                                   RENT            34000.0   \n",
       "...                                                  ...                ...   \n",
       "1382377                                              OWN           130000.0   \n",
       "1382378                                         MORTGAGE           180792.0   \n",
       "1382379                                         MORTGAGE           157000.0   \n",
       "1382380                                             RENT           150000.0   \n",
       "1382381                                             RENT           110000.0   \n",
       "\n",
       "           贷款资助月份    贷款的当前状态      借款人为贷款申请提供的类别。  过去2年借款人信用档案中逾期30天以上的拖欠事件  \\\n",
       "0        Dec-2015  goodloans  debt_consolidation                       0.0   \n",
       "1        Dec-2015  goodloans      small_business                       1.0   \n",
       "2        Dec-2015  goodloans    home_improvement                       0.0   \n",
       "3        Dec-2015  goodloans      major_purchase                       1.0   \n",
       "4        Dec-2015  goodloans  debt_consolidation                       0.0   \n",
       "...           ...        ...                 ...                       ...   \n",
       "1382377  Oct-2016  goodloans    home_improvement                       0.0   \n",
       "1382378  Oct-2016  goodloans  debt_consolidation                       0.0   \n",
       "1382379  Oct-2016   badloans    home_improvement                       0.0   \n",
       "1382380  Oct-2016  goodloans             medical                       0.0   \n",
       "1382381  Oct-2016   badloans  debt_consolidation                       0.0   \n",
       "\n",
       "         借款人信用文件中未结信用额度的数量。  贬损公共记录的数量  迄今为止收到的投资者出资总额部分付款  \n",
       "0                       7.0        0.0             4421.72  \n",
       "1                      22.0        0.0            25679.66  \n",
       "2                       6.0        0.0            22705.92  \n",
       "3                      12.0        0.0            11740.50  \n",
       "4                       5.0        0.0            13708.95  \n",
       "...                     ...        ...                 ...  \n",
       "1382377                17.0        0.0            20756.23  \n",
       "1382378                16.0        0.0            35848.76  \n",
       "1382379                14.0        0.0             3737.94  \n",
       "1382380                12.0        4.0            18660.61  \n",
       "1382381                10.0        1.0             6755.40  \n",
       "\n",
       "[1382321 rows x 16 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_del.drop(labels=[data_del.columns[-1],data_del.columns[-2]],axis=1,inplace=True)\n",
    "data_del"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7d6ec41",
   "metadata": {},
   "source": [
    "当前的数据集并不平衡，大部分的贷款全部被偿还，让我们设计一个模型来预测一个新申请贷款的人是否会偿还贷款。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5163e568",
   "metadata": {},
   "source": [
    "## 特征工程"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "0beee5f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。</th>\n",
       "      <th>贷款的付款次数。值以月为单位，可以是36或60。</th>\n",
       "      <th>贷款利率</th>\n",
       "      <th>如果贷款来源，借款人应每月支付的款项。</th>\n",
       "      <th>LC指定贷款路基</th>\n",
       "      <th>借款人申请贷款时提供的职位*</th>\n",
       "      <th>就业年限（年）。可能的值介于0和10之间，其中0表示少于一年，10表示十年或更长时间。</th>\n",
       "      <th>借款人在登记期间提供的或从信用报告中获得的房屋所有权状态。我们的价值观是：出租、自有、抵押、其他</th>\n",
       "      <th>借款人在注册期间提供的自报年收入。</th>\n",
       "      <th>贷款资助月份</th>\n",
       "      <th>贷款的当前状态</th>\n",
       "      <th>借款人为贷款申请提供的类别。</th>\n",
       "      <th>过去2年借款人信用档案中逾期30天以上的拖欠事件</th>\n",
       "      <th>借款人信用文件中未结信用额度的数量。</th>\n",
       "      <th>贬损公共记录的数量</th>\n",
       "      <th>迄今为止收到的投资者出资总额部分付款</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3600.0</td>\n",
       "      <td>36</td>\n",
       "      <td>13.99</td>\n",
       "      <td>123.03</td>\n",
       "      <td>C4</td>\n",
       "      <td>leadman</td>\n",
       "      <td>10</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>55000.0</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4421.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>24700.0</td>\n",
       "      <td>36</td>\n",
       "      <td>11.99</td>\n",
       "      <td>820.28</td>\n",
       "      <td>C1</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>10</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>65000.0</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>small_business</td>\n",
       "      <td>1.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25679.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20000.0</td>\n",
       "      <td>60</td>\n",
       "      <td>10.78</td>\n",
       "      <td>432.66</td>\n",
       "      <td>B4</td>\n",
       "      <td>truck driver</td>\n",
       "      <td>10</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>63000.0</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>home_improvement</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22705.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10400.0</td>\n",
       "      <td>60</td>\n",
       "      <td>22.45</td>\n",
       "      <td>289.91</td>\n",
       "      <td>F1</td>\n",
       "      <td>Contract Specialist</td>\n",
       "      <td>3</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>104433.0</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>major_purchase</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11740.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11950.0</td>\n",
       "      <td>36</td>\n",
       "      <td>13.44</td>\n",
       "      <td>405.18</td>\n",
       "      <td>C3</td>\n",
       "      <td>Veterinary Tecnician</td>\n",
       "      <td>4</td>\n",
       "      <td>RENT</td>\n",
       "      <td>34000.0</td>\n",
       "      <td>Dec-2015</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13708.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382377</th>\n",
       "      <td>18000.0</td>\n",
       "      <td>60</td>\n",
       "      <td>9.49</td>\n",
       "      <td>377.95</td>\n",
       "      <td>B2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>OWN</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>home_improvement</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20756.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382378</th>\n",
       "      <td>29400.0</td>\n",
       "      <td>60</td>\n",
       "      <td>13.99</td>\n",
       "      <td>683.94</td>\n",
       "      <td>C3</td>\n",
       "      <td>Chief Operating Officer</td>\n",
       "      <td>9</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>180792.0</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35848.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382379</th>\n",
       "      <td>32000.0</td>\n",
       "      <td>60</td>\n",
       "      <td>14.49</td>\n",
       "      <td>752.74</td>\n",
       "      <td>C4</td>\n",
       "      <td>Sales Manager</td>\n",
       "      <td>3</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>157000.0</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>badloans</td>\n",
       "      <td>home_improvement</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3737.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382380</th>\n",
       "      <td>16000.0</td>\n",
       "      <td>60</td>\n",
       "      <td>12.79</td>\n",
       "      <td>362.34</td>\n",
       "      <td>C1</td>\n",
       "      <td>Manager</td>\n",
       "      <td>10</td>\n",
       "      <td>RENT</td>\n",
       "      <td>150000.0</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>goodloans</td>\n",
       "      <td>medical</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>18660.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382381</th>\n",
       "      <td>24000.0</td>\n",
       "      <td>60</td>\n",
       "      <td>14.49</td>\n",
       "      <td>564.56</td>\n",
       "      <td>C4</td>\n",
       "      <td>Program Manager</td>\n",
       "      <td>6</td>\n",
       "      <td>RENT</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>Oct-2016</td>\n",
       "      <td>badloans</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6755.40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1382321 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         借款人申请的贷款金额。如果在某个时间点，信贷部门降低了贷款金额，那么它将反映在该值中。  \\\n",
       "0                                             3600.0   \n",
       "1                                            24700.0   \n",
       "2                                            20000.0   \n",
       "3                                            10400.0   \n",
       "4                                            11950.0   \n",
       "...                                              ...   \n",
       "1382377                                      18000.0   \n",
       "1382378                                      29400.0   \n",
       "1382379                                      32000.0   \n",
       "1382380                                      16000.0   \n",
       "1382381                                      24000.0   \n",
       "\n",
       "         贷款的付款次数。值以月为单位，可以是36或60。   贷款利率  如果贷款来源，借款人应每月支付的款项。 LC指定贷款路基  \\\n",
       "0                              36  13.99               123.03       C4   \n",
       "1                              36  11.99               820.28       C1   \n",
       "2                              60  10.78               432.66       B4   \n",
       "3                              60  22.45               289.91       F1   \n",
       "4                              36  13.44               405.18       C3   \n",
       "...                           ...    ...                  ...      ...   \n",
       "1382377                        60   9.49               377.95       B2   \n",
       "1382378                        60  13.99               683.94       C3   \n",
       "1382379                        60  14.49               752.74       C4   \n",
       "1382380                        60  12.79               362.34       C1   \n",
       "1382381                        60  14.49               564.56       C4   \n",
       "\n",
       "                  借款人申请贷款时提供的职位* 就业年限（年）。可能的值介于0和10之间，其中0表示少于一年，10表示十年或更长时间。  \\\n",
       "0                        leadman                                          10   \n",
       "1                       Engineer                                          10   \n",
       "2                   truck driver                                          10   \n",
       "3            Contract Specialist                                           3   \n",
       "4           Veterinary Tecnician                                           4   \n",
       "...                          ...                                         ...   \n",
       "1382377                      NaN                                           5   \n",
       "1382378  Chief Operating Officer                                           9   \n",
       "1382379            Sales Manager                                           3   \n",
       "1382380                  Manager                                          10   \n",
       "1382381          Program Manager                                           6   \n",
       "\n",
       "        借款人在登记期间提供的或从信用报告中获得的房屋所有权状态。我们的价值观是：出租、自有、抵押、其他  借款人在注册期间提供的自报年收入。  \\\n",
       "0                                               MORTGAGE            55000.0   \n",
       "1                                               MORTGAGE            65000.0   \n",
       "2                                               MORTGAGE            63000.0   \n",
       "3                                               MORTGAGE           104433.0   \n",
       "4                                                   RENT            34000.0   \n",
       "...                                                  ...                ...   \n",
       "1382377                                              OWN           130000.0   \n",
       "1382378                                         MORTGAGE           180792.0   \n",
       "1382379                                         MORTGAGE           157000.0   \n",
       "1382380                                             RENT           150000.0   \n",
       "1382381                                             RENT           110000.0   \n",
       "\n",
       "           贷款资助月份    贷款的当前状态      借款人为贷款申请提供的类别。  过去2年借款人信用档案中逾期30天以上的拖欠事件  \\\n",
       "0        Dec-2015  goodloans  debt_consolidation                       0.0   \n",
       "1        Dec-2015  goodloans      small_business                       1.0   \n",
       "2        Dec-2015  goodloans    home_improvement                       0.0   \n",
       "3        Dec-2015  goodloans      major_purchase                       1.0   \n",
       "4        Dec-2015  goodloans  debt_consolidation                       0.0   \n",
       "...           ...        ...                 ...                       ...   \n",
       "1382377  Oct-2016  goodloans    home_improvement                       0.0   \n",
       "1382378  Oct-2016  goodloans  debt_consolidation                       0.0   \n",
       "1382379  Oct-2016   badloans    home_improvement                       0.0   \n",
       "1382380  Oct-2016  goodloans             medical                       0.0   \n",
       "1382381  Oct-2016   badloans  debt_consolidation                       0.0   \n",
       "\n",
       "         借款人信用文件中未结信用额度的数量。  贬损公共记录的数量  迄今为止收到的投资者出资总额部分付款  \n",
       "0                       7.0        0.0             4421.72  \n",
       "1                      22.0        0.0            25679.66  \n",
       "2                       6.0        0.0            22705.92  \n",
       "3                      12.0        0.0            11740.50  \n",
       "4                       5.0        0.0            13708.95  \n",
       "...                     ...        ...                 ...  \n",
       "1382377                17.0        0.0            20756.23  \n",
       "1382378                16.0        0.0            35848.76  \n",
       "1382379                14.0        0.0             3737.94  \n",
       "1382380                12.0        4.0            18660.61  \n",
       "1382381                10.0        1.0             6755.40  \n",
       "\n",
       "[1382321 rows x 16 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_del[data_del.columns[1]] = data_del[data_del.columns[1]].str.replace(' months','').astype('int8')\n",
    "data_del"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1d25bb69",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "def features_change(x,data_del):\n",
    "    labels = data_del[data_del.columns[x]].unique().tolist()#某列中的元素值为不同类别的文本\n",
    "    data_del[data_del.columns[x]] = data_del[data_del.columns[x]].apply(lambda x:labels.index(x))#把其中的文本转换成0、1、2、……的整数\n",
    "    return data_del\n",
    "\n",
    "for i in [4,8,10,11,14,15,18]:\n",
    "    data_del = features_change(i,data_del)\n",
    "data_del"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "2e149f70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1152 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "corr_map = data_del.corr()\n",
    "plt.figure(figsize= (16,16))\n",
    "sns.heatmap(corr_map,annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20f76a4f",
   "metadata": {},
   "source": [
    "对应删除高相关特征列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "2802b4a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = data_del.drop('贷款的当前状态',axis=1)\n",
    "y = data_del['贷款的当前状态']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc404d7a",
   "metadata": {},
   "source": [
    "## 处理样本不均衡的问题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "c6a03a2f",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "could not convert string to float: 'debt_consolidation'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Input \u001b[0;32mIn [37]\u001b[0m, in \u001b[0;36m<cell line: 5>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;66;03m# 定义 SMOTE 模型，random_state 相当于随机数种子的作用\u001b[39;00m\n\u001b[1;32m      4\u001b[0m smo \u001b[38;5;241m=\u001b[39m SMOTE(random_state \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m42\u001b[39m)\n\u001b[0;32m----> 5\u001b[0m X_smo,y_smo \u001b[38;5;241m=\u001b[39m \u001b[43msmo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit_resample\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/imblearn/base.py:77\u001b[0m, in \u001b[0;36mSamplerMixin.fit_resample\u001b[0;34m(self, X, y)\u001b[0m\n\u001b[1;32m     75\u001b[0m check_classification_targets(y)\n\u001b[1;32m     76\u001b[0m arrays_transformer \u001b[38;5;241m=\u001b[39m ArraysTransformer(X, y)\n\u001b[0;32m---> 77\u001b[0m X, y, binarize_y \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_check_X_y\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     79\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msampling_strategy_ \u001b[38;5;241m=\u001b[39m check_sampling_strategy(\n\u001b[1;32m     80\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msampling_strategy, y, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sampling_type\n\u001b[1;32m     81\u001b[0m )\n\u001b[1;32m     83\u001b[0m output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fit_resample(X, y)\n",
      "File \u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/imblearn/base.py:132\u001b[0m, in \u001b[0;36mBaseSampler._check_X_y\u001b[0;34m(self, X, y, accept_sparse)\u001b[0m\n\u001b[1;32m    130\u001b[0m     accept_sparse \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcsr\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcsc\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m    131\u001b[0m y, binarize_y \u001b[38;5;241m=\u001b[39m check_target_type(y, indicate_one_vs_all\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m--> 132\u001b[0m X, y \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreset\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maccept_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maccept_sparse\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    133\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m X, y, binarize_y\n",
      "File \u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/sklearn/base.py:596\u001b[0m, in \u001b[0;36mBaseEstimator._validate_data\u001b[0;34m(self, X, y, reset, validate_separately, **check_params)\u001b[0m\n\u001b[1;32m    594\u001b[0m         y \u001b[38;5;241m=\u001b[39m check_array(y, input_name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mcheck_y_params)\n\u001b[1;32m    595\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 596\u001b[0m         X, y \u001b[38;5;241m=\u001b[39m \u001b[43mcheck_X_y\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mcheck_params\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    597\u001b[0m     out \u001b[38;5;241m=\u001b[39m X, y\n\u001b[1;32m    599\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m no_val_X \u001b[38;5;129;01mand\u001b[39;00m check_params\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mensure_2d\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mTrue\u001b[39;00m):\n",
      "File \u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/validation.py:1074\u001b[0m, in \u001b[0;36mcheck_X_y\u001b[0;34m(X, y, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, multi_output, ensure_min_samples, ensure_min_features, y_numeric, estimator)\u001b[0m\n\u001b[1;32m   1069\u001b[0m         estimator_name \u001b[38;5;241m=\u001b[39m _check_estimator_name(estimator)\n\u001b[1;32m   1070\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m   1071\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mestimator_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m requires y to be passed, but the target y is None\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m   1072\u001b[0m     )\n\u001b[0;32m-> 1074\u001b[0m X \u001b[38;5;241m=\u001b[39m \u001b[43mcheck_array\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1075\u001b[0m \u001b[43m    \u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1076\u001b[0m \u001b[43m    \u001b[49m\u001b[43maccept_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maccept_sparse\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1077\u001b[0m \u001b[43m    \u001b[49m\u001b[43maccept_large_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maccept_large_sparse\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1078\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1079\u001b[0m \u001b[43m    \u001b[49m\u001b[43morder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morder\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1080\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1081\u001b[0m \u001b[43m    \u001b[49m\u001b[43mforce_all_finite\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mforce_all_finite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1082\u001b[0m \u001b[43m    \u001b[49m\u001b[43mensure_2d\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mensure_2d\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1083\u001b[0m \u001b[43m    \u001b[49m\u001b[43mallow_nd\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mallow_nd\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1084\u001b[0m \u001b[43m    \u001b[49m\u001b[43mensure_min_samples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mensure_min_samples\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1085\u001b[0m \u001b[43m    \u001b[49m\u001b[43mensure_min_features\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mensure_min_features\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1086\u001b[0m \u001b[43m    \u001b[49m\u001b[43mestimator\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mestimator\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1087\u001b[0m \u001b[43m    \u001b[49m\u001b[43minput_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mX\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1088\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1090\u001b[0m y \u001b[38;5;241m=\u001b[39m _check_y(y, multi_output\u001b[38;5;241m=\u001b[39mmulti_output, y_numeric\u001b[38;5;241m=\u001b[39my_numeric, estimator\u001b[38;5;241m=\u001b[39mestimator)\n\u001b[1;32m   1092\u001b[0m check_consistent_length(X, y)\n",
      "File \u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/validation.py:856\u001b[0m, in \u001b[0;36mcheck_array\u001b[0;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator, input_name)\u001b[0m\n\u001b[1;32m    854\u001b[0m         array \u001b[38;5;241m=\u001b[39m array\u001b[38;5;241m.\u001b[39mastype(dtype, casting\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munsafe\u001b[39m\u001b[38;5;124m\"\u001b[39m, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m    855\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 856\u001b[0m         array \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43marray\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morder\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    857\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ComplexWarning \u001b[38;5;28;01mas\u001b[39;00m complex_warning:\n\u001b[1;32m    858\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    859\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mComplex data not supported\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(array)\n\u001b[1;32m    860\u001b[0m     ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mcomplex_warning\u001b[39;00m\n",
      "File \u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/pandas/core/generic.py:2064\u001b[0m, in \u001b[0;36mNDFrame.__array__\u001b[0;34m(self, dtype)\u001b[0m\n\u001b[1;32m   2063\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__array__\u001b[39m(\u001b[38;5;28mself\u001b[39m, dtype: npt\u001b[38;5;241m.\u001b[39mDTypeLike \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m np\u001b[38;5;241m.\u001b[39mndarray:\n\u001b[0;32m-> 2064\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_values\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[0;31mValueError\u001b[0m: could not convert string to float: 'debt_consolidation'"
     ]
    }
   ],
   "source": [
    "# 使用imlbearn库中采样方法中的 SMOTE 借口\n",
    "from imblearn.over_sampling import SMOTE\n",
    "# 定义 SMOTE 模型，random_state 相当于随机数种子的作用\n",
    "smo = SMOTE(random_state = 42)\n",
    "X_smo,y_smo = smo.fit_resample(X,y)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "064eb2b9",
   "metadata": {},
   "source": [
    "## 数据进行标准化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "2c804ba5",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X_smo, y_smo, test_size=0.2, random_state=5)\n",
    "scaler = MinMaxScaler()\n",
    "X_train = scaler.fit_transform(X_train)\n",
    "X_test = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "3b9f3c8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best parameters:{'n_estimators': 9}\n",
      "Best score:0.9939676219176832\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "rf = RandomForestClassifier()\n",
    "parameters = {\"n_estimators\": range(1,11)}\n",
    "# 使用GridSearchCV进行参数调优\n",
    "clf = GridSearchCV(rf, param_grid=parameters)\n",
    "# 对数据集进行拟合\n",
    "clf.fit(X_train,y_train)\n",
    "print('Best parameters:{}'.format(clf.best_params_))\n",
    "print('Best score:{}'.format(clf.best_score_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "573dbdb5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "随机森林模型的准确度：0.9942106778782468\n",
      "Area under the ROC curve :0.9942119083851869\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      0.99      0.99    217191\n",
      "           1       0.99      1.00      0.99    216884\n",
      "\n",
      "    accuracy                           0.99    434075\n",
      "   macro avg       0.99      0.99      0.99    434075\n",
      "weighted avg       0.99      0.99      0.99    434075\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import accuracy_score # 导入准确率分数\n",
    "from sklearn.metrics import roc_auc_score\n",
    "\n",
    "predicted_y_clf = clf.predict(X_test)\n",
    "print('随机森林模型的准确度：{}'.format(accuracy_score(y_test,predicted_y_clf)))\n",
    "roc_auc_rf = roc_auc_score(y_test, predicted_y_clf)\n",
    "print(\"Area under the ROC curve :{}\".format(roc_auc_rf))\n",
    "print(classification_report(y_test, predicted_y_clf))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67da2cb3",
   "metadata": {},
   "source": [
    "代码/思路参考：\n",
    "\n",
    "https://www.kaggle.com/code/jiangjim/lending-club/notebook\n",
    "    \n",
    "https://www.kaggle.com/code/ritesh7355/loan-defaulters-prediction\n",
    "\n",
    "https://zhuanlan.zhihu.com/p/114839075"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4fd1b536",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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